nnt2lvq (Neural Network Toolbox)

Update NNT 2.0 learning vector quantization network to NNT 3.0

net = nnt2lvq(pr,w1,w2,lr,lf)

nnt2lvq(PR,W1,W2,LR,LF) takes these arguments,

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

W1 - S1 x R weight matrix.

W2 - S2 x S1 weight matrix.

LR - Learning rate, default = 0.01.

LF - Learning function, default = 'learnlv2'.

and returns a radial basis network.

The learning function LF can be learnlv1 or learnlv2.

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