preceptron_train.m

threshold= 0.5;
learning_rate = 0.1;
weights = [0, 0, 0];
training_set = [[[1, 0, 0], 1], [[1, 0, 1], 1], [[1, 1, 0], 1], [[1, 1, 1], 0]];
P = [1,0,0; 1,0,1; 1,1,0; 1,1,1]';
T = [1,1,1,0];

while true
    error_count = 0;
    for input_index=1:size(P,1)
        input_vector = P(:,input_index);
        desired_output = T(input_index);
        product = weights * input_vector ;
        result = 0;
        if product > threshold
            result = 1;
        end
        error = desired_output - result;
        if error ~= 0
            error_count = error_count + 1;
            index = 1;
            for value = input_vector'
                weights(index) = weights(index) + learning_rate * error * value;
                index = index + 1 ;
            end
        end
    end
    if error_count == 0 
        break;
    end
end