Implement simple Logic Network Using MP Neuron Model : AND Function implementation using McCulloch-Pitts neuron model ( MP Neuron Model )

%AND function using Mcculloch-Pitts neuron

clear;

clc;

%Getting weights and threshold value

disp('Enter weights');

w1=input('Weight w1=');

w2=input('weight w2=');

disp('Enter Threshold Value');

theta=input('theta=');

y=[0 0 0 0];

x1=[0 0 1 1];

x2=[0 1 0 1];

z=[0 0 0 1];

con=1;

while con

zin=x1*w1+x2*w2;

for i=1:4

if zin(i)>=theta

y(i)=1;

else

y(i)=0;

end

end

disp('Output of Net');

disp(y);

if y==z

con=0;

else

disp('Net is not learning enter another set of weights and Threshold value');

w1=input('weight w1=');

w2=input('weight w2=');

theta=input('theta=');

end

end

disp('Mcculloch-Pitts Net for AND function');

disp('Weights of Neuron');

disp(w1);

disp(w2);

disp('Threshold value');

disp(theta);