Neural Network Toolbox

nnt2lvq

Update NNT 2.0 learning vector quantization network

Syntax

net = nnt2lvq(PR,W1,W2,LR,LF)

Description

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.

See Also

newlvq

nnt2lin

nnt2p

© 1994-2005 The MathWorks, Inc.