Конвертация кода С++ в код на С#

//Analysis Type - Classification 
#include <stdio.h>
#include <conio.h>
#include <math.h>
#include <stdlib.h>
 
 
double input_hidden_weights[17][18]=
{
 {1,21312079233089e-001, 8,13303813526400e-002, 2,69836403142135e-001, 2,98834196283939e-002, -3,58773613306096e-002, 1,50006296859477e-001, 4,62113342497497e-001, 4,27618053288499e-001, 4,81391069756186e-001, 8,47894091065862e-001, 4,42167331285908e-002, 2,51557273373520e-001, 2,45022592075752e-002, -2,19022600637310e-002, 6,32637648673092e-002, 4,15989629139803e-001, 3,25167719707671e-001, 4,09027437036607e-001 },
 {-1,53201318773079e-001, 2,99449200429551e-002, 2,52875119093150e-001, -7,73792711281277e-002, 4,51502821451181e-002, -1,95092040632625e-002, -4,99198732647126e-001, -4,54575709828722e-001, -4,77738502372443e-001, -5,92757403279985e-001, 4,11374097433205e-002, 1,79771355756938e-001, 2,33684416493206e-002, 4,44693647237253e-004, 3,84794730462633e-002, -1,18890047349630e-001, -9,24831556837311e-002, -1,06517275990224e-001 },
 {1,43567636677678e-001, 1,26577335579022e-001, -1,96280814899977e-001, -9,13885238607106e-003, -3,79096075587168e-002, 4,32335107339007e-002, 4,65068116457924e-001, 4,71777756736540e-001, 4,54644296718123e-001, 6,96721166313918e-001, -3,93014468648974e-002, -4,69721342739556e-002, -6,10338633026317e-003, 3,71032806188295e-002, -4,36856911572161e-002, 2,84983785097280e-001, 3,27940440454459e-001, 2,33194621076623e-001 },
 {-3,09850490623939e-001, 7,22512344503995e-002, 8,08922702315493e-001, -2,96498192837851e-002, 1,63716614999116e-002, 8,18433239996956e-003, -3,26414286683769e+000, -3,25340128375074e+000, -3,27580383273398e+000, -3,18532342125109e+000, 1,57768375235584e-001, 6,57697606518223e-001, 6,64426903536297e-002, -1,80543094051177e-002, -3,16966801495799e-001, -3,31522274910848e+000, -3,28923912497171e+000, -3,27359941152789e+000 },
 {3,00956119962474e-001, -2,30177080457827e-001, -7,73390213565219e-001, 2,70615145811372e-002, -7,19925448754822e-003, -1,05734119133375e-001, 1,64859771305054e+000, 1,70382003197325e+000, 1,64892770191011e+000, 1,27245190183664e+000, -1,53964769995935e-001, -7,57022414277725e-001, -1,33263643216291e-001, -2,11125095967218e-002, 1,93057335789027e-001, 2,08475909772764e+000, 2,02056341408440e+000, 2,03061954473549e+000 },
 {-8,14987625150924e-001, 2,79641567767912e-001, 2,37820143632473e-001, -1,73918991670573e-001, 5,74946351526210e-002, 3,72347956478526e-002, -1,20784367130712e+000, -1,17991174848909e+000, -1,16294474614433e+000, -2,57817120289898e+000, 3,93586015132563e-002, 5,33676921295957e-001, 1,34236724513549e-001, 9,35986735507391e-003, 4,46749518170439e-001, -3,54385197231447e-001, -3,47516236597118e-001, -2,91807820805095e-001 },
 {-1,61955660552867e-001, 1,20787031143531e-002, 3,96969616734463e-001, -2,98202489876812e-002, 4,56214397046472e-002, 8,93860803261540e-002, -5,97413660132490e-001, -5,57071243420990e-001, -5,79911662010493e-001, -9,32636343913820e-001, 1,12891878238825e-001, 3,19151555819262e-001, 1,04804930436771e-001, 2,30356000296310e-003, -5,78795193532829e-002, -4,61499171308554e-001, -4,85585993342457e-001, -4,82733491750433e-001 },
 {-8,75781483245426e-001, -3,52491741950823e-001, 1,79925276721466e-001, -2,56868933704444e-001, 9,89394546276489e-002, -1,27061248930951e-001, -5,78510250206569e-001, -5,29655008770554e-001, -5,53333494239226e-001, -5,83126287969461e+000, 1,70124345023186e-002, 3,26757417654603e-001, 1,67306388839382e-001, -4,64701639697621e-002, -7,45641036211209e-002, 5,12577584620096e-001, 5,05444496307225e-001, 4,67613716171617e-001 },
 {8,88728629019161e-001, -2,82186550506645e-002, -1,88971456328602e-001, 3,53416869227427e-001, -6,06284329025543e-002, 9,04114795753259e-002, 2,23506022213892e-001, 2,51155746391235e-001, 2,57409320356005e-001, 5,21027235001916e+000, 6,40507585478021e-002, -5,16931023460816e-001, -2,16259898845699e-003, -9,26001814851011e-003, -6,90959917282806e-002, 8,91935979247679e-001, 8,99700722308605e-001, 9,13904894276489e-001 },
 {-2,59644106199566e-002, 7,54106243569299e-002, -2,44781313816858e-001, 4,94206114706510e-003, -2,68190864124891e-003, 7,45202047529002e-003, 5,41907981800953e-001, 5,15128749801391e-001, 5,13505243554036e-001, 2,31803104948878e-001, -2,64324798203302e-002, -1,43079087624247e-001, 3,79138001023823e-002, -2,53889792086321e-002, -2,98415717590101e-002, 4,50725726004669e-001, 3,92481045456231e-001, 4,04135788447376e-001 },
 {-1,23023397612811e-001, 2,09079599669633e-002, 2,15594993570204e-002, -2,13357453675854e-002, 9,37902945445511e-003, -3,74973122258854e-002, -1,25021991724480e+000, -1,24820185027765e+000, -1,21171029554761e+000, -1,32359357525368e+000, -2,71891105531718e-002, 1,87143637978160e-002, 1,50981153611649e-003, -8,05701728866404e-003, -2,56797602596879e-001, -1,23424140932148e+000, -1,22319315096927e+000, -1,25767478433454e+000 },
 {-8,39837643137746e-002, -8,73744460631026e-002, -3,25099913831096e-001, -2,40336464180696e-002, -4,33349402009775e-002, -1,23723700217038e-001, -1,69760426555217e-001, -1,69736447180273e-001, -1,46193245903370e-001, -5,80424513673771e-001, -5,47792015887499e-002, -2,70154341668796e-001, 8,51961838938440e-003, -2,42704621148303e-002, -4,92239947799499e-002, -6,95330105518419e-002, -6,60763013394921e-002, -6,82894081787140e-003 },
 {-1,35633300483005e-001, 9,14811859764800e-001, 3,06409171012054e-001, -2,35256430767217e-003, 1,94712138794871e-002, -1,65718391301286e-002, -1,63606139410523e+000, -1,70743796139294e+000, -1,66577310297144e+000, 1,17655722025471e+000, 4,37234241480954e-002, 5,52221462559003e-001, 4,56518698011769e-002, -1,69422173694391e-002, 7,28483107323625e-001, -1,74340816997277e+000, -1,79151559811488e+000, -1,74187495360584e+000 },
 {-1,84151952447769e-001, 2,02671008648202e-001, 7,50067205298281e-001, -2,67101822187224e-002, 4,98962080554998e-002, 8,69769075899650e-002, -1,44069338331968e+000, -1,44117731360125e+000, -1,45301381878372e+000, -1,21741945347443e+000, 1,38577230058253e-001, 6,00626958274076e-001, 7,29971765823804e-002, 7,72886204282524e-003, -9,78582773115427e-002, -1,51930233852446e+000, -1,48181669030136e+000, -1,49545379481615e+000 },
 {-3,18807935006725e-001, 7,01162025939623e-002, 7,39499999214357e-001, -7,15211860555759e-002, 2,04954428652940e-002, -1,53734839653873e-002, -3,20899324858181e+000, -3,19777714976300e+000, -3,24126794369194e+000, -3,16550522949788e+000, 7,78300222588824e-002, 5,94680896656957e-001, 4,59428597235699e-003, -4,79511847564951e-002, -2,88713728983200e-001, -3,21048599839023e+000, -3,22334671567317e+000, -3,21018343600732e+000 },
 {-1,61581125043399e-001, 8,88166980357983e-001, 9,43124693836109e-001, -4,29381803653932e-002, 4,08526973687869e-002, 8,85010318087106e-001, -5,95522914907746e-001, -6,27733772004150e-001, -5,75314585005064e-001, -1,75156918577446e+000, 2,58555541241604e-001, 1,38447453976172e+000, 2,19492066380931e-001, 7,37400781999898e-004, -3,56995131291914e-001, -1,06684641920652e+000, -1,00938391879813e+000, -1,07118589023642e+000 },
 {2,29894591985157e-001, -2,12892298577666e-001, -4,05451005539340e-001, 9,13070784901838e-002, -4,20525896671620e-002, 6,12669641541661e-002, 7,76294405935580e-001, 7,69260213319013e-001, 7,87627335916552e-001, 3,54403278532501e-001, -8,33290497988227e-002, -3,79581025028736e-001, -1,06002741446173e-001, -2,43456043711727e-003, -2,28798452126075e-001, 5,74785444199741e-001, 6,27465682126582e-001, 6,41247621930891e-001 } 
};
 
double hidden_bias[17]={ 1,70010048114743e+000, 5,57698651993142e-001, -1,24520292136277e-001, -1,37176326830549e-001, -2,01403943864693e+000, 4,15529595529594e+000, 8,70082583234048e-001, 3,74781344007013e+000, -5,44411439165633e+000, -5,71675410977591e-001, -1,37077611050394e+000, -1,49250652932804e+000, 3,25303438395725e+000, 1,80973763847564e+000, -5,13503455995757e-001, 1,14600565939730e+000, -2,53681579588062e+000 };
 
double hidden_output_wts[2][17]=
{
 {4,36985187833552e-001, -7,82881415198220e-001, 1,11347639465550e+000, 1,67499860676437e+000, -3,21288626084845e+000, -1,33311775197112e+000, 7,96937183474053e-001, -2,03296927053169e+000, 2,81279555821042e+000, 2,74056569158403e-002, -3,86487959699823e+000, -1,07101433583122e+000, 2,16584348294571e+000, -1,41934445883463e+000, 1,52520615427558e+000, -2,79817395414840e+000, 6,86028753066747e-001 },
 {-4,21303374455415e-001, 7,75163730007219e-001, -1,10374325568819e+000, -1,71888493188557e+000, 3,29670509889323e+000, 1,31846455238292e+000, -8,32903436105651e-001, 2,11246900357463e+000, -2,81167624142932e+000, -4,25809013353348e-002, 3,86741362619797e+000, 1,12972386925872e+000, -2,19251935659802e+000, 1,44210685682925e+000, -1,48920789272768e+000, 2,78766788370046e+000, -6,99102205529296e-001 }
};
 
double output_bias[2]={ -1,94526555260841e+000, 1,93419711467157e+000 };
 
double max_input[18]={ 2,91442300000000e+006, 2,91530700000000e+006, 2,94705200000000e+006, 2,76315200000000e+006, 2,83175900000000e+006, 2,92659800000000e+006, 2,94900000000000e+003, 2,94900000000000e+003, 2,94600000000000e+003, 2,93600000000000e+003, 2,88298200000000e+006, 2,94851300000000e+006, 2,92903200000000e+006, 2,36902400000000e+006, 2,94918200000000e+006, 2,95900000000000e+003, 2,96000000000000e+003, 2,96100000000000e+003 };
 
double min_input[18]={ 2,00000000000000e+000, -2,60000000000000e+001, 1,00000000000000e+000, 2,00000000000000e+000, 1,00000000000000e+000, -1,79000000000000e+002, 0,00000000000000e+000, 0,00000000000000e+000, 0,00000000000000e+000, -1,54000000000000e+002, 1,00000000000000e+000, 1,00000000000000e+000, 1,00000000000000e+000, 1,00000000000000e+000, 1,00000000000000e+000, 0,00000000000000e+000, 0,00000000000000e+000, 0,00000000000000e+000 };
 
double input[18];
double hidden[17];
double output[2];
 
void FindMax(double* vec, double* max, long* maxIndex,int len)
{
  long i;
  *max = vec[0];
  *maxIndex = 0;
  for(i=1; i<len; i++)
  {
    if(vec[i]>*max)
    {
      *max = vec[i];
      *maxIndex = i;
    }
  }
}
 
void ScaleInputs(double* input, double minimum, double maximum, int size)
{
 double delta;
 long i;
 for(i=0; i<size; i++)
 {
    delta = (maximum-minimum)/(max_input[i]-min_input[i]);
    input[i] = minimum - delta*min_input[i]+ delta*input[i];
 }
}
 
void softmax(double* vec,int len)
{
 
  long i, j;
  double sum=0.0;
  for(i=0; i<len; i++)
  {
    if(vec[i]>200)
    {
      double max;
      long maxIndex;
      FindMax(vec, &max, &maxIndex,len);
      for(j=0; j<len; j++)
      {        if(j==maxIndex) vec[j] = 1.0;
        else vec[j] = 0.0;
      }
      return;
    }
    else
    {
      vec[i] = exp(vec[i]);
    }
    sum += vec[i];
  }
  if(sum==0)
  {
   long a = 1;
  }
  if(sum!=0.0)
  {
    for(i=0; i<len; i++) vec[i] = vec[i]/sum;
  }
  else for(i=0; i<len; i++) vec[i] = 1.0/(double)len;
}
 
void ComputeFeedForwardSignals(double* MAT_INOUT,double* V_IN,double* V_OUT, double* V_BIAS,int size1,int size2,int layer)
{
  int row,col;
  for(row=0;row < size2; row++) 
    {
      V_OUT[row]=0.0;
      for(col=0;col<size1;col++)V_OUT[row]+=(*(MAT_INOUT+(row*size1)+col)*V_IN[col]);
      V_OUT[row]+=V_BIAS[row];
      if(layer==0) V_OUT[row] = tanh(V_OUT[row]);
   }
}
 
void RunNeuralNet_Classification () 
{
  ComputeFeedForwardSignals((double*)input_hidden_weights,input,hidden,hidden_bias,18, 17,0);
  ComputeFeedForwardSignals((double*)hidden_output_wts,hidden,output,output_bias,17, 2,1);
}
 
int main()
{
  int index;
  int i=0;
  int keyin=1;
  double max;
 
    scanf("%lg",&input[17]);
    ScaleInputs(input,0,1,18);
    RunNeuralNet_Classification();
   //Output Activation is Softmax;
    softmax(output, 2);
    
 
    return 0;
}