| Neural Network Toolbox | |
Update NNT 2.0 learning vector quantization network
Syntax
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
| | nnt2lin | nnt2p | |