#include #include using namespace std; /*declaration of the global variables for the program; this is cause the neuron is defined outside the main function*/ int x, y, x1, y1, x2, y2; int z, z1, z2; int error1; int error2; int error3; class a_neuron{ public: void learn() { do{ //do loop will run untill the error = zero.. int wa1=rand()%5; int wa2=rand()%5; int wa3=rand()%5; //multplying the training set by random variables.. int trial1= wa1*x+wa2*y; int trial2= wa1*x1+wa2*y1; int trial3= wa1*x2+wa2*y2; //calculating the error: difference of trial and actual output error1= trial1*wa3 - z; error2= trial2*wa3 - z1; error3= trial3*wa3 - z2; /* when the error = zero the program has learned the appropriate weigts fotr the inputs.. the if stmt executes to accept new inputs from the programmer haven learnt the weights..*/ if (error1==0, error2==0, error3==0) { /* declaring variables for the new input variables... line 34 gave me a headache to decipher so if youre studying the code pay it ample attention*/ int new1; int new2; int trial; int ans; int weight1=wa1; int weight2=wa2; int weight3=wa3; cout<>new1>>new2; //multiplying the new inputs by the "learned" weights... trial=weight1*new1 + weight2*new2; ans=trial*weight3; cout<<"the answer is:"<> x>> y>> x1>> y1>> x2>> y2; cout<< "input the answers.."<> z>> z1>> z2; //calling the function #learn of the artificial neuron. a_neuron test; test.learn(); return 0; }

artificial neuron #2 cpp