RBNC

Radial basis function neural network classifier

    W = RBNC(A,UNITS)

Input
A	Dataset
UNITS	Number of RBF units in hidden layer

Output
W	Radial basis neural network mapping

Description

A feed-forward neural network classifier with one hidden layer with  UNITS radial basis units is computed for labeled dataset A.  Default UNITS is number of objects * 0.2, but not more than 100.  Uses the Mathworks' Neural Network toolbox.

If UNITS is NaN it is optimised by REGOPTC. This may take a long  computing time and is often not significantly better than the default.

This routine calls MathWork's SOLVERB routine (Neural Network toolbox)  as SOLVB.

See also

mappings, datasets, lmnc, bpxnc, neurc, rnnc, regoptc,