Question

I need to design a neural network which has the following behavior:

p(1)={0,1,1,1} outputs a(1)={0,1,0,0}
p(2)={1,1,0,1} outputs a(2)={0,0,1,0}
p(3)={0,0,1,0} outputs a(3)={0,0,0,1}
p(4)={0,0,1,1} outputs a(4)={1,1,0,1}

How can i do so? Which type of neural network should I use? Which learning method can be used here?

Thanks.

Answer 1

At first glance it seems as though you could use a simple feedforward neural network with one input layer one, one hidden layer and one output layer. You can use your training data to train the neural network using the backpropogation algorithm.

See this page for more details:
http://en.wikipedia.org/wiki/Backpropagation