So I'm in the middle of finals and I don't have enough time to finish this project I'm doing. I need some parts to be reprogrammed. It works and all I just need an alternate main() and step 4 and step 5. Please help!!! It really is on me passing the year or not. Heres the link for the file: http://www.yousendit.com/d.aspx?id=92CC42D15BDEFE2FA6FAABECCBAA0298 //^^^^^^^^^^^^^^^^^^^^^^^^^^^^// // Semester Project No. 1 // //............................// #include<stdio.h> #include<string.h> #include<time.h> #include<stdlib.h> #include<math.h> #define N 12 #define M 1000 float synaptic_weight [N]; int i; double proba [2][2]; int noise_signal[N]; int output=0; int no_stimuli[N] = {0,0,0,0,0,0,1,1,1,1,1,1}; //Prenence and absence of an object int with_stimuli[N] = {0,0,0,1,1,1,0,0,0,1,1,1}; //in the visual field // Step 1. Activation of the 12 neurons of the retinea according to stimuli S void input(int S, int retina[]) { int i; if(S==1) for (i = 0; i < N; i++) retina = with_stimuli; else for (i = 0; i < N; i++) retina = no_stimuli; } int noise(int retina[N]) // Step 2. Noise activation of the 12 neurons of the visual cortex { float p; for(i=0; i < N; i++) { p = ((float)rand()/(float)RAND_MAX); if(p>=0.9) // probabilty of 0.1 knowing that the parameters: [0.9,1.0] { noise_signal= retina; } else { if(retina == 1) noise_signal = 0; if(retina==0) noise_signal=1; } } } // Step 3. Random generation of the synaptic weights float weight() { float p; for(i=0; i<N; i++) { p =((float)rand()/(float)RAND_MAX) * 50 - 25; synaptic_weight = p; } } int activation(int noise [N], float synaptic_weight [N]) // Calculation of the activation (output) of the receiving neuron { float sum = 0; for (i=0; i<N; i++) { sum = sum + synaptic_weight *noise; } if ( sum >= 0) output = 1; else output = 0; return output; } void probability (int tabS[M],int taboutput[M]) // Step 4. Creation of a table of probabilities, comparing a stimulus S with corresponding activation (output) { int j,i; for(j=0;j<1000;j++) proba[tabS[j]][taboutput[j]]+=1; for(j=0;j<2;j++) for(i=0;i<2;i++) proba[j]=(proba[j])/1000; } inline double xlogx(double x) // Calculation of the value xlogx { if(x==0) return 0.0; else return x*log(x)/log(2); } double mutual_information(int nb_values, double proba[2][2]) // Step 5. Calculation of the mutual information between the stimulus and the activation { double h_xy = 0.0, h_x = 0.0, h_y = 0.0; int i,j; for(i=0;i< nb_values;i++) { double p_x=0.0, p_y=0.0; for(j=0;j<nb_values;j++) { p_x += proba[j]; p_y += proba[j]; h_xy -= xlogx(proba[j]); } h_x -= xlogx(p_x); h_y -= xlogx(p_y); } return h_x + h_y + - h_xy; } main() { srand(time(NULL)); int j,z,k,s; int tabS[M]; int taboutput[M]; double score = 0; int S; float r; float optimal_synaptic_weight[N]; int retina[N]; FILE *f; f = fopen("Score List.txt", "w"); // Makes a file that lists the values of the mutual information of 10000 neurons subjected each one to 1000 different stimuli for(z=0;z<10000;z++) { weight(); for(j = 0;j<1000;j++) { r = (float)(rand())/(float)(RAND_MAX); if(r <= 0.5) S = 0; else S=1; tabS[j] = S; input(S, retina); noise(retina); activation(noise_signal,synaptic_weight); taboutput[j] = output; } probability (tabS,taboutput); fprintf(f,"%lf \n",mutual_information(2,proba)); if(mutual_information(2,proba) > score) //determination of the best score of mutual information { score = mutual_information(2,proba); for(k=0;k<N;k++) optimal_synaptic_weight[k]=synaptic_weight[k]; } //determination of the configuration of the synaptic weights relative to the best score } printf("best score = %lf \n", score); printf("synaptic weight :\n"); for(k=0;k<N;k++) printf("%f ", optimal_synaptic_weight[k]); printf("\n\n"); fclose(f); }

Here's the file. Please help I have 12 hours to alter these parts. http://www.yousendit.com/d.aspx?id=92CC42D15BDEFE2FA6FAABECCBAA0298 Also id like the program to print out the list along with the list being a txt file. Thanks again. Im desperate.

dude i was trying to help by advising you how to get help. it is 11pm on the last night of my class and i am completely fried. no way i am sorting through code now. but good luck