Neural Network Toolbox

nnt2p

Update NNT 2.0 perceptron

Syntax

net = nnt2p(PR,W,B,TF,LF)

Description

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.

See Also

newp

nnt2lvq

nnt2rb

© 1994-2005 The MathWorks, Inc.