neural network trained with sine, sq, tri waveforms
Revision 0:7ee700dd1955, committed 2016-11-08
- Comitter:
- cpm219
- Date:
- Tue Nov 08 00:54:37 2016 +0000
- Commit message:
- latest version
Changed in this revision
diff -r 000000000000 -r 7ee700dd1955 neural_network3.cpp --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/neural_network3.cpp Tue Nov 08 00:54:37 2016 +0000 @@ -0,0 +1,308 @@ +// +// File: neural_network3.cpp +// +// Code generated for Simulink model 'neural_network3'. +// +// Model version : 1.11 +// Simulink Coder version : 8.10 (R2016a) 10-Feb-2016 +// C/C++ source code generated on : Wed Oct 05 11:40:49 2016 +// +// Target selection: ert.tlc +// Embedded hardware selection: ARM Compatible->ARM Cortex +// Code generation objectives: Unspecified +// Validation result: Not run +// +#include "neural_network3.h" +#include "neural_network3_private.h" + +// Block signals (auto storage) +B_neural_network3_T neural_network3_B; + +// Real-time model +RT_MODEL_neural_network3_T neural_network3_M_; +RT_MODEL_neural_network3_T *const neural_network3_M = &neural_network3_M_; +real_T rt_roundd_snf(real_T u) +{ + real_T y; + if (fabs(u) < 4.503599627370496E+15) { + if (u >= 0.5) { + y = floor(u + 0.5); + } else if (u > -0.5) { + y = u * 0.0; + } else { + y = ceil(u - 0.5); + } + } else { + y = u; + } + + return y; +} + +// Model step function +void neural_network3_custom(real_T arg_In1[200], real_T arg_Out1[2]) +{ + int32_T i; + real_T tmp; + real_T tmp_0; + real_T tmp_1; + real_T tmp_2; + real_T tmp_3; + real_T rtb_Addminy; + real_T rtb_Sum1; + + // DotProduct: '<S9>/Dot Product' + tmp_2 = 0.0; + + // DotProduct: '<S19>/Dot Product' + tmp_3 = 0.0; + + // DotProduct: '<S20>/Dot Product' + rtb_Sum1 = 0.0; + + // DotProduct: '<S21>/Dot Product' + neural_network3_B.d0 = 0.0; + + // DotProduct: '<S22>/Dot Product' + neural_network3_B.d1 = 0.0; + + // DotProduct: '<S23>/Dot Product' + neural_network3_B.d2 = 0.0; + + // DotProduct: '<S24>/Dot Product' + neural_network3_B.d3 = 0.0; + + // DotProduct: '<S25>/Dot Product' + neural_network3_B.d4 = 0.0; + + // DotProduct: '<S26>/Dot Product' + neural_network3_B.d5 = 0.0; + + // DotProduct: '<S10>/Dot Product' + neural_network3_B.d6 = 0.0; + + // DotProduct: '<S11>/Dot Product' + neural_network3_B.d7 = 0.0; + + // DotProduct: '<S12>/Dot Product' + neural_network3_B.d8 = 0.0; + + // DotProduct: '<S13>/Dot Product' + neural_network3_B.d9 = 0.0; + + // DotProduct: '<S14>/Dot Product' + neural_network3_B.d10 = 0.0; + + // DotProduct: '<S15>/Dot Product' + neural_network3_B.d11 = 0.0; + + // DotProduct: '<S16>/Dot Product' + tmp = 0.0; + + // DotProduct: '<S17>/Dot Product' + tmp_0 = 0.0; + + // DotProduct: '<S18>/Dot Product' + tmp_1 = 0.0; + for (i = 0; i < 200; i++) { + // Bias: '<S32>/Add min y' incorporates: + // Bias: '<S32>/Subtract min x' + // Gain: '<S32>/range y // range x' + // Inport: '<Root>/In1' + + rtb_Addminy = (arg_In1[i] + neural_network3_ConstP.Subtractminx_Bias[i]) * + neural_network3_ConstP.rangeyrangex_Gain[i] + -1.0; + + // DotProduct: '<S9>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(1,:)'' + + tmp_2 += neural_network3_ConstP.IW111_Value[i] * rtb_Addminy; + + // DotProduct: '<S19>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(2,:)'' + + tmp_3 += neural_network3_ConstP.IW112_Value[i] * rtb_Addminy; + + // DotProduct: '<S20>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(3,:)'' + + rtb_Sum1 += neural_network3_ConstP.IW113_Value[i] * rtb_Addminy; + + // DotProduct: '<S21>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(4,:)'' + + neural_network3_B.d0 += neural_network3_ConstP.IW114_Value[i] * rtb_Addminy; + + // DotProduct: '<S22>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(5,:)'' + + neural_network3_B.d1 += neural_network3_ConstP.IW115_Value[i] * rtb_Addminy; + + // DotProduct: '<S23>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(6,:)'' + + neural_network3_B.d2 += neural_network3_ConstP.IW116_Value[i] * rtb_Addminy; + + // DotProduct: '<S24>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(7,:)'' + + neural_network3_B.d3 += neural_network3_ConstP.IW117_Value[i] * rtb_Addminy; + + // DotProduct: '<S25>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(8,:)'' + + neural_network3_B.d4 += neural_network3_ConstP.IW118_Value[i] * rtb_Addminy; + + // DotProduct: '<S26>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(9,:)'' + + neural_network3_B.d5 += neural_network3_ConstP.IW119_Value[i] * rtb_Addminy; + + // DotProduct: '<S10>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(10,:)'' + + neural_network3_B.d6 += neural_network3_ConstP.IW1110_Value[i] * rtb_Addminy; + + // DotProduct: '<S11>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(11,:)'' + + neural_network3_B.d7 += neural_network3_ConstP.IW1111_Value[i] * rtb_Addminy; + + // DotProduct: '<S12>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(12,:)'' + + neural_network3_B.d8 += neural_network3_ConstP.IW1112_Value[i] * rtb_Addminy; + + // DotProduct: '<S13>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(13,:)'' + + neural_network3_B.d9 += neural_network3_ConstP.IW1113_Value[i] * rtb_Addminy; + + // DotProduct: '<S14>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(14,:)'' + + neural_network3_B.d10 += neural_network3_ConstP.IW1114_Value[i] * + rtb_Addminy; + + // DotProduct: '<S15>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(15,:)'' + + neural_network3_B.d11 += neural_network3_ConstP.IW1115_Value[i] * + rtb_Addminy; + + // DotProduct: '<S16>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(16,:)'' + + tmp += neural_network3_ConstP.IW1116_Value[i] * rtb_Addminy; + + // DotProduct: '<S17>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(17,:)'' + + tmp_0 += neural_network3_ConstP.IW1117_Value[i] * rtb_Addminy; + + // DotProduct: '<S18>/Dot Product' incorporates: + // Constant: '<S7>/IW{1,1}(18,:)'' + + tmp_1 += neural_network3_ConstP.IW1118_Value[i] * rtb_Addminy; + } + + // Sum: '<S2>/netsum' incorporates: + // DotProduct: '<S10>/Dot Product' + // DotProduct: '<S11>/Dot Product' + // DotProduct: '<S12>/Dot Product' + // DotProduct: '<S13>/Dot Product' + // DotProduct: '<S14>/Dot Product' + // DotProduct: '<S15>/Dot Product' + // DotProduct: '<S16>/Dot Product' + // DotProduct: '<S17>/Dot Product' + // DotProduct: '<S18>/Dot Product' + // DotProduct: '<S19>/Dot Product' + // DotProduct: '<S20>/Dot Product' + // DotProduct: '<S21>/Dot Product' + // DotProduct: '<S22>/Dot Product' + // DotProduct: '<S23>/Dot Product' + // DotProduct: '<S24>/Dot Product' + // DotProduct: '<S25>/Dot Product' + // DotProduct: '<S26>/Dot Product' + // DotProduct: '<S9>/Dot Product' + + neural_network3_B.dv0[0] = tmp_2; + neural_network3_B.dv0[1] = tmp_3; + neural_network3_B.dv0[2] = rtb_Sum1; + neural_network3_B.dv0[3] = neural_network3_B.d0; + neural_network3_B.dv0[4] = neural_network3_B.d1; + neural_network3_B.dv0[5] = neural_network3_B.d2; + neural_network3_B.dv0[6] = neural_network3_B.d3; + neural_network3_B.dv0[7] = neural_network3_B.d4; + neural_network3_B.dv0[8] = neural_network3_B.d5; + neural_network3_B.dv0[9] = neural_network3_B.d6; + neural_network3_B.dv0[10] = neural_network3_B.d7; + neural_network3_B.dv0[11] = neural_network3_B.d8; + neural_network3_B.dv0[12] = neural_network3_B.d9; + neural_network3_B.dv0[13] = neural_network3_B.d10; + neural_network3_B.dv0[14] = neural_network3_B.d11; + neural_network3_B.dv0[15] = tmp; + neural_network3_B.dv0[16] = tmp_0; + neural_network3_B.dv0[17] = tmp_1; + + // DotProduct: '<S30>/Dot Product' + tmp_2 = 0.0; + + // DotProduct: '<S31>/Dot Product' + tmp_3 = 0.0; + for (i = 0; i < 18; i++) { + // Sum: '<S8>/Sum1' incorporates: + // Constant: '<S2>/b{1}' + // Constant: '<S8>/one' + // Constant: '<S8>/one1' + // Gain: '<S8>/Gain' + // Gain: '<S8>/Gain1' + // Sum: '<S2>/netsum' + // Sum: '<S8>/Sum' + + rtb_Sum1 = 1.0 / (exp((neural_network3_B.dv0[i] + + neural_network3_ConstP.b1_Value[i]) * -2.0) + 1.0) * 2.0 - 1.0; + + // DotProduct: '<S30>/Dot Product' incorporates: + // Constant: '<S28>/IW{2,1}(1,:)'' + + tmp_2 += neural_network3_ConstP.IW211_Value[i] * rtb_Sum1; + + // DotProduct: '<S31>/Dot Product' incorporates: + // Constant: '<S28>/IW{2,1}(2,:)'' + + tmp_3 += neural_network3_ConstP.IW212_Value[i] * rtb_Sum1; + } + + // Outport: '<Root>/Out1' incorporates: + // Bias: '<S33>/Subtract min y' + // DotProduct: '<S30>/Dot Product' + // DotProduct: '<S31>/Dot Product' + // Gain: '<S33>/Divide by range y' + // Rounding: '<Root>/Rounding Function' + // Sum: '<S3>/netsum' + + arg_Out1[0] = rt_roundd_snf(fabs(((tmp_2 + 0.418253410631824) + 1.0) * 0.5)); + arg_Out1[1] = rt_roundd_snf(fabs(((tmp_3 + -0.64279410179815355) + 1.0) * 0.5)); +} + +// Model initialize function +void neural_network3_initialize(void) +{ + // Registration code + + // initialize error status + rtmSetErrorStatus(neural_network3_M, (NULL)); +} + +// Model terminate function +void neural_network3_terminate(void) +{ + // (no terminate code required) +} + +// +// File trailer for generated code. +// +// [EOF] +//
diff -r 000000000000 -r 7ee700dd1955 neural_network3.h --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/neural_network3.h Tue Nov 08 00:54:37 2016 +0000 @@ -0,0 +1,296 @@ +// +// File: neural_network3.h +// +// Code generated for Simulink model 'neural_network3'. +// +// Model version : 1.11 +// Simulink Coder version : 8.10 (R2016a) 10-Feb-2016 +// C/C++ source code generated on : Wed Oct 05 11:40:49 2016 +// +// Target selection: ert.tlc +// Embedded hardware selection: ARM Compatible->ARM Cortex +// Code generation objectives: Unspecified +// Validation result: Not run +// +#ifndef RTW_HEADER_neural_network3_h_ +#define RTW_HEADER_neural_network3_h_ +#include <math.h> +#include <stddef.h> +#ifndef neural_network3_COMMON_INCLUDES_ +# define neural_network3_COMMON_INCLUDES_ +#include "rtwtypes.h" +#endif // neural_network3_COMMON_INCLUDES_ + +#include "neural_network3_types.h" + +// Macros for accessing real-time model data structure +#ifndef rtmGetErrorStatus +# define rtmGetErrorStatus(rtm) ((rtm)->errorStatus) +#endif + +#ifndef rtmSetErrorStatus +# define rtmSetErrorStatus(rtm, val) ((rtm)->errorStatus = (val)) +#endif + +// Block signals (auto storage) +typedef struct { + real_T dv0[18]; + real_T d0; + real_T d1; + real_T d2; + real_T d3; + real_T d4; + real_T d5; + real_T d6; + real_T d7; + real_T d8; + real_T d9; + real_T d10; + real_T d11; +} B_neural_network3_T; + +// Constant parameters (auto storage) +typedef struct { + // Expression: [0.034818154331286398;0.66076252759090626;0.70825606984461476;0.23788677306383968;-0.47632906971050487;-0.15535213752034072;-0.43263430730471869;-0.59912719473950682;-0.036090019000243875;-0.4631931836457881;-0.61620095478434911;0.78705460794476079;-0.56119694045499702;-0.34349655467299217;0.3342799050081422;-0.164689653651648;0.70674574128264378;-0.6694791704227846] + // Referenced by: '<S28>/IW{2,1}(1,:)'' + + real_T IW211_Value[18]; + + // Expression: [-0.033964218178468106;0.07920290466553799;0.014762760596472965;0.1225383963461424;0.065139838490366905;0.05626115276051552;0.084161484584888591;-0.00051231109889398425;0.054811739697101271;-0.0092658736628400736;0.11331866678787382;-0.052368078275311855;-0.15950524981041012;-0.0035482696084514964;-0.0989381890122948;-0.14724475240976515;0.042122371149665293;0.10187174780055747;0.09534987022833917;-0.14080881782947735;0.14580840559523656;0.078277645974725238;-0.12876540403610942;0.1635324123978715;0.13628015016905992;0.039949885583347576;0.0028342338304256955;0.013850914126718159;0.088046071782732535;0.10638035413935741;-0.048420227737993267;-0.18911265696440205;0.049397671717889613;0.0041619818615778407;0.10675152286796553;0.075490435582466806;0.01392314125182037;-0.13755930264670502;0.0027270337992226067;0.1493927991758236;0.064308315149634046;-0.17838995949425762;0.069676973876668866;0.02865765623312538;-0.090962103056209387;-0.0056657870629613603;-0.052406823277376717;-0.065680498877073751;0.16442451204243466;0.13491630678889405;0.14896910138818512;0.10793391683752994;0.053998197414075431;-0.089385180921219692;-0.032490252169360828;-0.18023173675557108;0.068447020339432299;-0.12914348806159986;0.11847096836592406;-0.050236429943792987;0.00056463420682675283;0.13861600418754835;0.0092561031279775156;-0.18258403984364782;0.13500782197242459;-0.064026975013013965;-0.024852893593797821;-0.070467430529124853;0.13597509988281942;0.023978269386275806;0.15518161103977066;-0.016241666848657688;-0.062171820386342252;0.095057559207193248;-0.021851173024987507;0.098285765732918459;0.022075009042553141;-0.05835057298937784;-0.012977133560983766;-0.12208416016929877;-0.16821790481598173;0.053478064218419545;0.014841123987907941;-0.028998003243692803;-0.13811154192846542;-0.13823116753002351;0.045581720655487344;0.040802245020429208;-0.023715106101696845;0.071339180112885286;0.12386932303976392;0.10689745138794292;-0.074336146470375439;0.090273448163479167;-0.12726360087087674;0.05591539368255663;0.054119958281221979;-0.059012407620319438;-0.0056811989147491212;-0.15351999403504163;-0.035441525210856348;0.067162281178461056;0.016980824739583154;0.030835838998692366;-0.0027729617752229284;-0.12228822091625494;-0.075618080456269415;0.093660697716178312;0.064024102434256325;-0.15673487653159837;-0.14305018089600502;-0.10185145763378811;-0.14453233036450641;0.16229784899563771;0.03156568527167479;0.15290409356419862;-0.16987995493070715;0.073803312542853022;0.056867186856038504;0.021801684330952465;-0.0598894420041668;0.13159548324954515;-0.16682536059279263;-0.12000431616398433;-0.024786066715462077;-0.0028519931760141127;0.046233574672675533;0.052570790231533618;-0.14871909177169843;0.045551119368824222;-0.040000314486449202;-0.12761703295291962;-0.086676055224884543;0.14774076165970135;0.038220437587749928;0.16130964330314607;0.11512251984483128;-0.083411397537275625;-0.11119769032069404;-0.15863517142276315;0.082119616797945744;-0.041016460520615992;-0.0012863722904754944;-0.034445096363038746;-0.028044636329985134;-0.04285401398411675;-0.049730348025518248;-0.0094335085321160684;0.045276318541723301;0.16558083163284715;0.13039755948344078;0.011547163953843274;-0.026663534927767185;0.11255794729849719;-0.17627689184053377;0.10268001690275558;-0.018635709692950819;0.090159039917376782;0.028231347367097107;0.08961513804781493;-0.14362355602660487;-0.15272785004518902;0.070764733910302788;0.11293672625364047;0.12873482718227836;0.16598035146945508;0.07348418508698018;0.15334218439039257;0.0053480114396074118;-0.0079720235461679442;-0.10553015587651124;0.127406887384934;-0.033793843917567755;-0.052801418034279186;0.086529053718000237;-0.18397310947670084;-0.047237071341008983;-0.018925243632297768;0.16030096452899573;-0.16364896750123706;-0.15281387877210781;-0.0952769191922649;0.13375431321194525;0.15272527088124321;-0.18628262592560452;-0.047499364778839238;-0.00048487254604806344;0.012720816738291441;-0.14604361388895526;-0.095617086369007634;0.092456264991106929;0.0051157019486157669;0.00062235191298873425;-0.074213680917547764;-0.10762807920983843;-0.090511173852476576;0.17564236078836873;-0.020620169797409965;0.13318680989976112;0.086940113994474252] + // Referenced by: '<S7>/IW{1,1}(1,:)'' + + real_T IW111_Value[200]; + + // Expression: -xmin + // Referenced by: '<S32>/Subtract min x' + + real_T Subtractminx_Bias[200]; + + // Expression: (ymax-ymin)./(xmax-xmin) + // Referenced by: '<S32>/range y // range x' + + real_T rangeyrangex_Gain[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(2,:)'' + + real_T IW112_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(3,:)'' + + real_T IW113_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(4,:)'' + + real_T IW114_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(5,:)'' + + real_T IW115_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(6,:)'' + + real_T IW116_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(7,:)'' + + real_T IW117_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(8,:)'' + + real_T IW118_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(9,:)'' + + real_T IW119_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(10,:)'' + + real_T IW1110_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(11,:)'' + + real_T IW1111_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(12,:)'' + + real_T IW1112_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(13,:)'' + + real_T IW1113_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(14,:)'' + + real_T IW1114_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(15,:)'' + + real_T IW1115_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(16,:)'' + + real_T IW1116_Value[200]; + + // Expression: 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+ // Referenced by: '<S7>/IW{1,1}(17,:)'' + + real_T IW1117_Value[200]; + + // Expression: [0.067063296582996312;-0.10306789975125751;-0.070926578101733695;0.16992292701656919;0.020873691804399772;-0.08011858744658272;-0.1035436888314039;-0.16369285456783539;-0.0065980738227874383;0.051979526116702202;0.028327129827727848;0.12469718823288528;-0.0023803920801579162;-0.091595806905910154;-0.023514511270300797;-0.014960787010949422;-0.036076052659424665;-0.14343789762264228;0.15126249973217262;-0.041262741781172764;-0.038928784018270171;0.10696227014903528;0.016353714193612427;0.054280014795592448;-0.15714310222119365;-0.096475069444583658;0.12288812583857947;-0.11148566475238397;-0.027906002455524426;0.17077208260821874;0.011032889013423782;-0.022018877739185462;0.076746004689799571;-0.086581166477122426;0.14697208715239216;0.036543607068436179;-0.069256776864005776;-0.14750874119449633;0.029717201394642855;-0.050286003312411752;-0.17356217961237913;0.020591741574173074;-0.1279514093724532;0.10400045859021116;-0.078210813969402743;0.13090272809671699;-0.021618445308894028;0.16625547744486924;0.13024244143441724;-0.17991899625748131;0.017346576044255862;0.094628966055858216;0.0089870851917034783;-0.10102247522157151;0.019560387859605944;-0.094879549226053336;-0.15162419892342083;-0.1395608451873851;0.17333377224022942;-0.020106363360422232;-0.005896736456965858;-0.071847786777897993;0.038437538185542457;0.15985137505361507;-0.14329580943092324;0.16683150152712983;0.036412870130640436;-0.11533557664767481;-0.077101072897998404;0.13045312409593066;-0.08077021235871748;0.16314700825771308;0.12209505482141994;0.1119771873486788;0.070320964050551812;0.10626752719960038;0.14290451033475371;0.10404084696443858;0.11342292864812084;0.0076863523181510312;0.029179553442311233;-0.10368940129963389;-0.043711485953199132;0.076145144896831982;-0.036695265304576043;0.11786489074767573;0.02637860277027131;-0.0021226375831416714;0.14853655642384447;-0.1742713543768438;-0.089091733768211764;0.040480464773123198;-0.033492554113359628;0.058258102022062441;0.13186504124981693;-0.1448413388420213;-0.08243635015712289;-0.017038049931764866;0.049617928183836542;0.14339192673505069;0.074051953056593539;-0.011768679321261705;0.040887233385266966;0.14941966368596413;-0.080846310670894053;-0.025301499561559006;0.048957039717401736;-0.024954431889109667;0.16946415066705703;-0.11997033182423873;0.011890853088908599;0.047835070712615509;0.046443741847089895;-0.034000989876541002;0.12343064131431893;0.094988508178347392;0.062418101510318652;0.16886905564451871;0.10102305404335936;-0.028312308349031461;0.022510366131858705;0.11782080457522422;-0.004709640867867456;-0.054216161146876662;0.042437463117684524;-0.057782153012470798;-0.11997709345291316;0.10041628707355757;0.17001661587035422;-0.014053871093614006;-0.16319438823288671;-0.1158980242423681;0.16466964662200803;0.040563164584272539;-0.11937870037550749;-0.11499188396622886;-0.090877777966746315;0.019147744506176477;-0.03892779116657983;0.14264421503849753;0.12491658153004978;0.0041188650444662113;-0.071470551967249663;0.067517418239890256;-0.14022767566248678;-0.1472960739480445;-0.14526511720024313;0.076291278923139999;-0.070116371569064639;-0.04901829093726108;0.072830736408126331;0.14127467520070836;-0.15107812930681017;-0.13765772938021223;0.070165782273395899;0.093063185145312047;0.028098745192091948;-0.013678049442007437;0.13980427367782117;-0.032482544856994651;0.016626504711571004;-0.075305720473016396;-0.14811889579510978;0.11374068402162157;-0.021580603292497301;-0.051171186027000694;0.074372956495437514;0.14771522636823461;0.17014493139030926;-0.10500022236183595;0.075880722347139787;-0.12867084486420083;0.14944097797932124;0.044832842245822083;-0.091179468569784025;0.16813370499867283;-0.16190063045870215;-0.015337463202382601;0.15248541153620054;0.022244770264037095;0.042757389355811741;-0.12172955204777926;0.15689749639550823;0.16727041818105351;0.038917833633868998;0.012075775059162425;-0.11519068927675068;-0.15177193029930389;0.092661293101756456;-0.081578516263939166;0.038510484628887558;0.088978323841799101;0.13123370446592597;0.16905142599300571;0.13180127921927606;0.040497171525491198;-0.10720355371511736;0.12113145304077225;-0.072244997087901289;-0.022676142219749368] + // Referenced by: '<S7>/IW{1,1}(18,:)'' + + real_T IW1118_Value[200]; + + // Expression: [1.455502379943183;-1.2619706743360959;-1.1680839525481084;0.9172045646383824;-0.71390249562080266;-0.50256298154493328;-0.39117174056672188;-0.30910637549613035;-0.091253501620764399;-0.176642270323907;0.31897760653913076;-0.41579606502633237;0.53384341551336734;-0.7034862996673088;0.86445359565068081;1.0756644752157751;1.2129849368297265;1.4153751297366686] + // Referenced by: '<S2>/b{1}' + + real_T b1_Value[18]; + + // Expression: [0.34846977003779711;-0.19011969336329637;-0.61310395956110519;0.12831129027479718;0.25046039534253578;0.7104442794625041;0.32185416647295562;-0.31251935070500686;-0.079232852368460796;-0.73949556608969391;0.54222914212263684;0.073318824926835016;-0.81795462401636709;0.91520632028124882;-0.69527635352297779;-0.26796532416191721;-0.65688816923767557;0.47923485504278585] + // Referenced by: '<S28>/IW{2,1}(2,:)'' + + real_T IW212_Value[18]; +} ConstP_neural_network3_T; + +// Real-time Model Data Structure +struct tag_RTM_neural_network3_T { + const char_T * volatile errorStatus; +}; + +// Block signals (auto storage) +extern B_neural_network3_T neural_network3_B; + +#ifdef __cplusplus + +extern "C" { + +#endif + +#ifdef __cplusplus + +} +#endif + +// Constant parameters (auto storage) +extern const ConstP_neural_network3_T neural_network3_ConstP; + +#ifdef __cplusplus + +extern "C" { + +#endif + + // Model entry point functions + extern void neural_network3_initialize(void); + extern void neural_network3_terminate(void); + +#ifdef __cplusplus + +} +#endif + +// Customized model step function +#ifdef __cplusplus + +extern "C" { + +#endif + + extern void neural_network3_custom(real_T arg_In1[200], real_T arg_Out1[2]); + +#ifdef __cplusplus + +} +#endif + +// Real-time Model object +#ifdef __cplusplus + +extern "C" { + +#endif + + extern RT_MODEL_neural_network3_T *const neural_network3_M; + +#ifdef __cplusplus + +} +#endif + +//- +// These blocks were eliminated from the model due to optimizations: +// +// Block '<S33>/Add min x' : Eliminated nontunable bias of 0 + + +//- +// The generated code includes comments that allow you to trace directly +// back to the appropriate location in the model. The basic format +// is <system>/block_name, where system is the system number (uniquely +// assigned by Simulink) and block_name is the name of the block. +// +// Use the MATLAB hilite_system command to trace the generated code back +// to the model. For example, +// +// hilite_system('<S3>') - opens system 3 +// hilite_system('<S3>/Kp') - opens and selects block Kp which resides in S3 +// +// Here is the system hierarchy for this model +// +// '<Root>' : 'neural_network3' +// '<S1>' : 'neural_network3/Feed-Forward Neural Network' +// '<S2>' : 'neural_network3/Feed-Forward Neural Network/Layer 1' +// '<S3>' : 'neural_network3/Feed-Forward Neural Network/Layer 2' +// '<S4>' : 'neural_network3/Feed-Forward Neural Network/Process Input 1' +// '<S5>' : 'neural_network3/Feed-Forward Neural Network/Process Output 1' +// '<S6>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/Delays 1' +// '<S7>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}' +// '<S8>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/tansig' +// '<S9>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod1' +// '<S10>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod10' +// '<S11>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod11' +// '<S12>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod12' +// '<S13>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod13' +// '<S14>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod14' +// '<S15>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod15' +// '<S16>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod16' +// '<S17>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod17' +// '<S18>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod18' +// '<S19>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod2' +// '<S20>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod3' +// '<S21>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod4' +// '<S22>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod5' +// '<S23>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod6' +// '<S24>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod7' +// '<S25>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod8' +// '<S26>' : 'neural_network3/Feed-Forward Neural Network/Layer 1/IW{1,1}/dotprod9' +// '<S27>' : 'neural_network3/Feed-Forward Neural Network/Layer 2/Delays 1' +// '<S28>' : 'neural_network3/Feed-Forward Neural Network/Layer 2/LW{2,1}' +// '<S29>' : 'neural_network3/Feed-Forward Neural Network/Layer 2/purelin' +// '<S30>' : 'neural_network3/Feed-Forward Neural Network/Layer 2/LW{2,1}/dotprod1' +// '<S31>' : 'neural_network3/Feed-Forward Neural Network/Layer 2/LW{2,1}/dotprod2' +// '<S32>' : 'neural_network3/Feed-Forward Neural Network/Process Input 1/mapminmax' +// '<S33>' : 'neural_network3/Feed-Forward Neural Network/Process Output 1/mapminmax_reverse' + +#endif // RTW_HEADER_neural_network3_h_ + +// +// File trailer for generated code. +// +// [EOF] +//
diff -r 000000000000 -r 7ee700dd1955 neural_network3_data.cpp --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/neural_network3_data.cpp Tue Nov 08 00:54:37 2016 +0000 @@ -0,0 +1,1475 @@ +// +// File: neural_network3_data.cpp +// +// Code generated for Simulink model 'neural_network3'. +// +// Model version : 1.11 +// Simulink Coder version : 8.10 (R2016a) 10-Feb-2016 +// C/C++ source code generated on : Wed Oct 05 11:40:49 2016 +// +// Target selection: ert.tlc +// Embedded hardware selection: ARM Compatible->ARM Cortex +// Code generation objectives: Unspecified +// Validation result: Not run +// +#include "neural_network3.h" +#include "neural_network3_private.h" + +// Constant parameters (auto storage) +const ConstP_neural_network3_T neural_network3_ConstP = { + // Expression: [0.034818154331286398;0.66076252759090626;0.70825606984461476;0.23788677306383968;-0.47632906971050487;-0.15535213752034072;-0.43263430730471869;-0.59912719473950682;-0.036090019000243875;-0.4631931836457881;-0.61620095478434911;0.78705460794476079;-0.56119694045499702;-0.34349655467299217;0.3342799050081422;-0.164689653651648;0.70674574128264378;-0.6694791704227846] + // Referenced by: '<S28>/IW{2,1}(1,:)'' + + { 0.0348181543312864, 0.66076252759090626, 0.70825606984461476, + 0.23788677306383968, -0.47632906971050487, -0.15535213752034072, + -0.43263430730471869, -0.59912719473950682, -0.036090019000243875, + -0.4631931836457881, -0.61620095478434911, 0.78705460794476079, + -0.561196940454997, -0.34349655467299217, 0.3342799050081422, + -0.164689653651648, 0.70674574128264378, -0.6694791704227846 }, + + // Expression: [-0.033964218178468106;0.07920290466553799;0.014762760596472965;0.1225383963461424;0.065139838490366905;0.05626115276051552;0.084161484584888591;-0.00051231109889398425;0.054811739697101271;-0.0092658736628400736;0.11331866678787382;-0.052368078275311855;-0.15950524981041012;-0.0035482696084514964;-0.0989381890122948;-0.14724475240976515;0.042122371149665293;0.10187174780055747;0.09534987022833917;-0.14080881782947735;0.14580840559523656;0.078277645974725238;-0.12876540403610942;0.1635324123978715;0.13628015016905992;0.039949885583347576;0.0028342338304256955;0.013850914126718159;0.088046071782732535;0.10638035413935741;-0.048420227737993267;-0.18911265696440205;0.049397671717889613;0.0041619818615778407;0.10675152286796553;0.075490435582466806;0.01392314125182037;-0.13755930264670502;0.0027270337992226067;0.1493927991758236;0.064308315149634046;-0.17838995949425762;0.069676973876668866;0.02865765623312538;-0.090962103056209387;-0.0056657870629613603;-0.052406823277376717;-0.065680498877073751;0.16442451204243466;0.13491630678889405;0.14896910138818512;0.10793391683752994;0.053998197414075431;-0.089385180921219692;-0.032490252169360828;-0.18023173675557108;0.068447020339432299;-0.12914348806159986;0.11847096836592406;-0.050236429943792987;0.00056463420682675283;0.13861600418754835;0.0092561031279775156;-0.18258403984364782;0.13500782197242459;-0.064026975013013965;-0.024852893593797821;-0.070467430529124853;0.13597509988281942;0.023978269386275806;0.15518161103977066;-0.016241666848657688;-0.062171820386342252;0.095057559207193248;-0.021851173024987507;0.098285765732918459;0.022075009042553141;-0.05835057298937784;-0.012977133560983766;-0.12208416016929877;-0.16821790481598173;0.053478064218419545;0.014841123987907941;-0.028998003243692803;-0.13811154192846542;-0.13823116753002351;0.045581720655487344;0.040802245020429208;-0.023715106101696845;0.071339180112885286;0.12386932303976392;0.10689745138794292;-0.074336146470375439;0.090273448163479167;-0.12726360087087674;0.05591539368255663;0.054119958281221979;-0.059012407620319438;-0.0056811989147491212;-0.15351999403504163;-0.035441525210856348;0.067162281178461056;0.016980824739583154;0.030835838998692366;-0.0027729617752229284;-0.12228822091625494;-0.075618080456269415;0.093660697716178312;0.064024102434256325;-0.15673487653159837;-0.14305018089600502;-0.10185145763378811;-0.14453233036450641;0.16229784899563771;0.03156568527167479;0.15290409356419862;-0.16987995493070715;0.073803312542853022;0.056867186856038504;0.021801684330952465;-0.0598894420041668;0.13159548324954515;-0.16682536059279263;-0.12000431616398433;-0.024786066715462077;-0.0028519931760141127;0.046233574672675533;0.052570790231533618;-0.14871909177169843;0.045551119368824222;-0.040000314486449202;-0.12761703295291962;-0.086676055224884543;0.14774076165970135;0.038220437587749928;0.16130964330314607;0.11512251984483128;-0.083411397537275625;-0.11119769032069404;-0.15863517142276315;0.082119616797945744;-0.041016460520615992;-0.0012863722904754944;-0.034445096363038746;-0.028044636329985134;-0.04285401398411675;-0.049730348025518248;-0.0094335085321160684;0.045276318541723301;0.16558083163284715;0.13039755948344078;0.011547163953843274;-0.026663534927767185;0.11255794729849719;-0.17627689184053377;0.10268001690275558;-0.018635709692950819;0.090159039917376782;0.028231347367097107;0.08961513804781493;-0.14362355602660487;-0.15272785004518902;0.070764733910302788;0.11293672625364047;0.12873482718227836;0.16598035146945508;0.07348418508698018;0.15334218439039257;0.0053480114396074118;-0.0079720235461679442;-0.10553015587651124;0.127406887384934;-0.033793843917567755;-0.052801418034279186;0.086529053718000237;-0.18397310947670084;-0.047237071341008983;-0.018925243632297768;0.16030096452899573;-0.16364896750123706;-0.15281387877210781;-0.0952769191922649;0.13375431321194525;0.15272527088124321;-0.18628262592560452;-0.047499364778839238;-0.00048487254604806344;0.012720816738291441;-0.14604361388895526;-0.095617086369007634;0.092456264991106929;0.0051157019486157669;0.00062235191298873425;-0.074213680917547764;-0.10762807920983843;-0.090511173852476576;0.17564236078836873;-0.020620169797409965;0.13318680989976112;0.086940113994474252] + // Referenced by: '<S7>/IW{1,1}(1,:)'' + + { -0.033964218178468106, 0.07920290466553799, 0.014762760596472965, + 0.1225383963461424, 0.0651398384903669, 0.05626115276051552, + 0.084161484584888591, -0.00051231109889398425, 0.054811739697101271, + -0.0092658736628400736, 0.11331866678787382, -0.052368078275311855, + -0.15950524981041012, -0.0035482696084514964, -0.0989381890122948, + -0.14724475240976515, 0.042122371149665293, 0.10187174780055747, + 0.09534987022833917, -0.14080881782947735, 0.14580840559523656, + 0.078277645974725238, -0.12876540403610942, 0.1635324123978715, + 0.13628015016905992, 0.039949885583347576, 0.0028342338304256955, + 0.013850914126718159, 0.088046071782732535, 0.10638035413935741, + -0.048420227737993267, -0.18911265696440205, 0.049397671717889613, + 0.0041619818615778407, 0.10675152286796553, 0.0754904355824668, + 0.01392314125182037, -0.13755930264670502, 0.0027270337992226067, + 0.1493927991758236, 0.064308315149634046, -0.17838995949425762, + 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-0.052801418034279186, + 0.086529053718000237, -0.18397310947670084, -0.047237071341008983, + -0.018925243632297768, 0.16030096452899573, -0.16364896750123706, + -0.15281387877210781, -0.0952769191922649, 0.13375431321194525, + 0.15272527088124321, -0.18628262592560452, -0.047499364778839238, + -0.00048487254604806344, 0.012720816738291441, -0.14604361388895526, + -0.095617086369007634, 0.092456264991106929, 0.0051157019486157669, + 0.00062235191298873425, -0.074213680917547764, -0.10762807920983843, + -0.090511173852476576, 0.17564236078836873, -0.020620169797409965, + 0.13318680989976112, 0.086940113994474252 }, + + // Expression: -xmin + // Referenced by: '<S32>/Subtract min x' + + { -499.09161573350622, -451.10601464813459, -323.75589095231345, + -159.53601601655376, -11.69121453667433, -78.542969179475477, + -99.31421466001801, -65.086574555932089, -8.8489550543046427, + -34.972223531330535, -50.293325774261781, -35.785516033283656, + -7.0765838020864376, -15.411318213583183, 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+ // Referenced by: '<S7>/IW{1,1}(18,:)'' + + { 0.067063296582996312, -0.10306789975125751, -0.0709265781017337, + 0.16992292701656919, 0.020873691804399772, -0.08011858744658272, + -0.1035436888314039, -0.16369285456783539, -0.0065980738227874383, + 0.0519795261167022, 0.028327129827727848, 0.12469718823288528, + -0.0023803920801579162, -0.091595806905910154, -0.023514511270300797, + -0.014960787010949422, -0.036076052659424665, -0.14343789762264228, + 0.15126249973217262, -0.041262741781172764, -0.038928784018270171, + 0.10696227014903528, 0.016353714193612427, 0.054280014795592448, + -0.15714310222119365, -0.096475069444583658, 0.12288812583857947, + -0.11148566475238397, -0.027906002455524426, 0.17077208260821874, + 0.011032889013423782, -0.022018877739185462, 0.076746004689799571, + -0.086581166477122426, 0.14697208715239216, 0.036543607068436179, + -0.069256776864005776, -0.14750874119449633, 0.029717201394642855, + -0.050286003312411752, -0.17356217961237913, 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-0.014053871093614006, -0.16319438823288671, -0.1158980242423681, + 0.16466964662200803, 0.040563164584272539, -0.11937870037550749, + -0.11499188396622886, -0.090877777966746315, 0.019147744506176477, + -0.03892779116657983, 0.14264421503849753, 0.12491658153004978, + 0.0041188650444662113, -0.071470551967249663, 0.067517418239890256, + -0.14022767566248678, -0.1472960739480445, -0.14526511720024313, + 0.07629127892314, -0.070116371569064639, -0.04901829093726108, + 0.072830736408126331, 0.14127467520070836, -0.15107812930681017, + -0.13765772938021223, 0.0701657822733959, 0.093063185145312047, + 0.028098745192091948, -0.013678049442007437, 0.13980427367782117, + -0.032482544856994651, 0.016626504711571004, -0.0753057204730164, + -0.14811889579510978, 0.11374068402162157, -0.0215806032924973, + -0.051171186027000694, 0.074372956495437514, 0.14771522636823461, + 0.17014493139030926, -0.10500022236183595, 0.075880722347139787, + -0.12867084486420083, 0.14944097797932124, 0.044832842245822083, + -0.091179468569784025, 0.16813370499867283, -0.16190063045870215, + -0.015337463202382601, 0.15248541153620054, 0.022244770264037095, + 0.042757389355811741, -0.12172955204777926, 0.15689749639550823, + 0.16727041818105351, 0.038917833633869, 0.012075775059162425, + -0.11519068927675068, -0.15177193029930389, 0.092661293101756456, + -0.081578516263939166, 0.038510484628887558, 0.0889783238417991, + 0.13123370446592597, 0.16905142599300571, 0.13180127921927606, + 0.0404971715254912, -0.10720355371511736, 0.12113145304077225, + -0.072244997087901289, -0.022676142219749368 }, + + // Expression: [1.455502379943183;-1.2619706743360959;-1.1680839525481084;0.9172045646383824;-0.71390249562080266;-0.50256298154493328;-0.39117174056672188;-0.30910637549613035;-0.091253501620764399;-0.176642270323907;0.31897760653913076;-0.41579606502633237;0.53384341551336734;-0.7034862996673088;0.86445359565068081;1.0756644752157751;1.2129849368297265;1.4153751297366686] + // Referenced by: '<S2>/b{1}' + + { 1.455502379943183, -1.2619706743360959, -1.1680839525481084, + 0.9172045646383824, -0.71390249562080266, -0.50256298154493328, + -0.39117174056672188, -0.30910637549613035, -0.0912535016207644, + -0.176642270323907, 0.31897760653913076, -0.41579606502633237, + 0.53384341551336734, -0.7034862996673088, 0.86445359565068081, + 1.0756644752157751, 1.2129849368297265, 1.4153751297366686 }, + + // Expression: [0.34846977003779711;-0.19011969336329637;-0.61310395956110519;0.12831129027479718;0.25046039534253578;0.7104442794625041;0.32185416647295562;-0.31251935070500686;-0.079232852368460796;-0.73949556608969391;0.54222914212263684;0.073318824926835016;-0.81795462401636709;0.91520632028124882;-0.69527635352297779;-0.26796532416191721;-0.65688816923767557;0.47923485504278585] + // Referenced by: '<S28>/IW{2,1}(2,:)'' + + { 0.34846977003779711, -0.19011969336329637, -0.61310395956110519, + 0.12831129027479718, 0.25046039534253578, 0.7104442794625041, + 0.32185416647295562, -0.31251935070500686, -0.0792328523684608, + -0.73949556608969391, 0.54222914212263684, 0.073318824926835016, + -0.81795462401636709, 0.91520632028124882, -0.69527635352297779, + -0.26796532416191721, -0.65688816923767557, 0.47923485504278585 } +}; + +// +// File trailer for generated code. +// +// [EOF] +//
diff -r 000000000000 -r 7ee700dd1955 neural_network3_private.h --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/neural_network3_private.h Tue Nov 08 00:54:37 2016 +0000 @@ -0,0 +1,27 @@ +// +// File: neural_network3_private.h +// +// Code generated for Simulink model 'neural_network3'. +// +// Model version : 1.11 +// Simulink Coder version : 8.10 (R2016a) 10-Feb-2016 +// C/C++ source code generated on : Wed Oct 05 11:40:49 2016 +// +// Target selection: ert.tlc +// Embedded hardware selection: ARM Compatible->ARM Cortex +// Code generation objectives: Unspecified +// Validation result: Not run +// +#ifndef RTW_HEADER_neural_network3_private_h_ +#define RTW_HEADER_neural_network3_private_h_ +#include "rtwtypes.h" + +extern real_T rt_roundd_snf(real_T u); + +#endif // RTW_HEADER_neural_network3_private_h_ + +// +// File trailer for generated code. +// +// [EOF] +//
diff -r 000000000000 -r 7ee700dd1955 neural_network3_types.h --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/neural_network3_types.h Tue Nov 08 00:54:37 2016 +0000 @@ -0,0 +1,27 @@ +// +// File: neural_network3_types.h +// +// Code generated for Simulink model 'neural_network3'. +// +// Model version : 1.11 +// Simulink Coder version : 8.10 (R2016a) 10-Feb-2016 +// C/C++ source code generated on : Wed Oct 05 11:40:49 2016 +// +// Target selection: ert.tlc +// Embedded hardware selection: ARM Compatible->ARM Cortex +// Code generation objectives: Unspecified +// Validation result: Not run +// +#ifndef RTW_HEADER_neural_network3_types_h_ +#define RTW_HEADER_neural_network3_types_h_ + +// Forward declaration for rtModel +typedef struct tag_RTM_neural_network3_T RT_MODEL_neural_network3_T; + +#endif // RTW_HEADER_neural_network3_types_h_ + +// +// File trailer for generated code. +// +// [EOF] +//
diff -r 000000000000 -r 7ee700dd1955 rtwtypes.h --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/rtwtypes.h Tue Nov 08 00:54:37 2016 +0000 @@ -0,0 +1,156 @@ +// +// File: rtwtypes.h +// +// Code generated for Simulink model 'neural_network3'. +// +// Model version : 1.11 +// Simulink Coder version : 8.10 (R2016a) 10-Feb-2016 +// C/C++ source code generated on : Wed Oct 05 11:40:49 2016 +// +// Target selection: ert.tlc +// Embedded hardware selection: ARM Compatible->ARM Cortex +// Code generation objectives: Unspecified +// Validation result: Not run +// + +#ifndef RTWTYPES_H +#define RTWTYPES_H + +// Logical type definitions +#if (!defined(__cplusplus)) +# ifndef false +# define false (0U) +# endif + +# ifndef true +# define true (1U) +# endif +#endif + +//=======================================================================* +// Target hardware information +// Device type: ARM Compatible->ARM Cortex +// Number of bits: char: 8 short: 16 int: 32 +// long: 32 +// native word size: 32 +// Byte ordering: LittleEndian +// Signed integer division rounds to: Zero +// Shift right on a signed integer as arithmetic shift: on +// ======================================================================= + +//=======================================================================* +// Fixed width word size data types: * +// int8_T, int16_T, int32_T - signed 8, 16, or 32 bit integers * +// uint8_T, uint16_T, uint32_T - unsigned 8, 16, or 32 bit integers * +// real32_T, real64_T - 32 and 64 bit floating point numbers * +// ======================================================================= +typedef signed char int8_T; +typedef unsigned char uint8_T; +typedef short int16_T; +typedef unsigned short uint16_T; +typedef int int32_T; +typedef unsigned int uint32_T; +typedef float real32_T; +typedef double real64_T; + +//===========================================================================* +// Generic type definitions: boolean_T, char_T, byte_T, int_T, uint_T, * +// real_T, time_T, ulong_T. * +// =========================================================================== +typedef double real_T; +typedef double time_T; +typedef unsigned char boolean_T; +typedef int int_T; +typedef unsigned int uint_T; +typedef unsigned long ulong_T; +typedef char char_T; +typedef unsigned char uchar_T; +typedef char_T byte_T; + +//===========================================================================* +// Complex number type definitions * +// =========================================================================== +#define CREAL_T + +typedef struct { + real32_T re; + real32_T im; +} creal32_T; + +typedef struct { + real64_T re; + real64_T im; +} creal64_T; + +typedef struct { + real_T re; + real_T im; +} creal_T; + +#define CINT8_T + +typedef struct { + int8_T re; + int8_T im; +} cint8_T; + +#define CUINT8_T + +typedef struct { + uint8_T re; + uint8_T im; +} cuint8_T; + +#define CINT16_T + +typedef struct { + int16_T re; + int16_T im; +} cint16_T; + +#define CUINT16_T + +typedef struct { + uint16_T re; + uint16_T im; +} cuint16_T; + +#define CINT32_T + +typedef struct { + int32_T re; + int32_T im; +} cint32_T; + +#define CUINT32_T + +typedef struct { + uint32_T re; + uint32_T im; +} cuint32_T; + +//=======================================================================* +// Min and Max: * +// int8_T, int16_T, int32_T - signed 8, 16, or 32 bit integers * +// uint8_T, uint16_T, uint32_T - unsigned 8, 16, or 32 bit integers * +// ======================================================================= +#define MAX_int8_T ((int8_T)(127)) +#define MIN_int8_T ((int8_T)(-128)) +#define MAX_uint8_T ((uint8_T)(255U)) +#define MAX_int16_T ((int16_T)(32767)) +#define MIN_int16_T ((int16_T)(-32768)) +#define MAX_uint16_T ((uint16_T)(65535U)) +#define MAX_int32_T ((int32_T)(2147483647)) +#define MIN_int32_T ((int32_T)(-2147483647-1)) +#define MAX_uint32_T ((uint32_T)(0xFFFFFFFFU)) + +// Block D-Work pointer type +typedef void * pointer_T; + +#endif // RTWTYPES_H + +// +// File trailer for generated code. +// +// [EOF] +//