Implementation Details: Neural Network

net.in = input;

bias = ones(size(input,1),1);

net.hid = NNsigmoid([input bias]*net.wh);

net.out = NNsigmoid([net.hid bias]*net.wo);

net.error = targets - net.out;

function net = NNupdatewts(net)

net.do = net.error .* net.out .* (1-net.out);

net.dh = net.do * net.wo(1:net.nh,:)' ...

.* net.hid .* (1-net.hid);

net.wo = net.wo + net.ro * [net.hid 1]' * net.do;

net.wh = net.wh + net.rh * [net.in 1]' * net.dh;

function y = NNsigmoid(x)

y = 1 ./ (1 + exp(-x));