File content as of revision 0:7ee700dd1955:

//
// 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]
//