Using the perceptron learning rule, find the weights required to perform the following classifications: 

Vectors(1,1,1,1) and (-1,1,-1,-1) are members of the class (and therefore have target value 1): 

vectors (1,1,1-1) and (1,-1-1,1) are not members of the class (and have target value -1). 

Use a learning rate of 1 and starting weights of 0. Using each of the training x vectors as input, test the response of the net.