int trainNetworkMain(const char* featrueSrc, const char* weightSrc, int sampleCnt)
{
int mode = 0, i, j;
//printf("sampleCnt -> %d \n", sampleCnt);
readData(featrueSrc, mode, sampleCnt);
/*for (i = 0; i < sampleCnt*FEATURES_CNT; i++)
{
printf("%.2lf ", sampleInput[i]);
}
printf("\n");
for (i = 0; i < sampleCnt*OUTPUT_CNT; i++)
{
printf("%d ", sampleOutput[i]);
}
printf("\n");*/
initBPNework(mode, sampleCnt);
if (mode == TRAIN_MODE) {
trainNetwork(sampleCnt);
writeNeuron(weightSrc);
}
else if (mode == TEST_MODE) {
/*for (i = 0; i<SAMPLE_CNT; ++i) {
computO(i);
printf("%d \n", getExtremumIndex(networkOutput, OUTPUT_CNT, 1));
}*/
}
}
void CellRandom(Grid* W, Cell* c,Ability* ab){
double randNum=getRandDouble(0,1);
writeNeuron(c,ab->IONeurons[0][0],randNum);
// addColor(W,c->color,randNum,randNum,randNum,RANDVIEW);
}
