nnt2p (Neural Network Toolbox)

Update NNT 2.0 perceptron to NNT 3.0

net = nnt2p(pr,w,b,tf,lf)

nnt2p(PR,W,B,TF,LF) takes these arguments,

PR - R x 2 matrix of min and max values for R input elements.

W - S x R weight matrix.

B - S x 1 bias vector.

TF - Transfer function, default = 'hardlim'.

LF - Learning function, default = 'learnp'.

and returns a perceptron.

The transfer function TF can be hardlim or hardlims. The learning function LF can be learnp or learnpn.

Once a network has been updated it can be simulated, initialized, adapted, or trained with sim, init, adapt, and train.