rbfderiv

Purpose

Evaluate derivatives of RBF network outputs with respect to weights.

Synopsis

g = rbfderiv(net, x)

Description

g = rbfderiv(net, x) takes a network data structure net and a matrix of input vectors x and returns a three-index matrix g whose i, j, k element contains the derivative of network output k with respect to weight or bias parameter j for input pattern i. The ordering of the weight and bias parameters is defined by rbfunpak. This function also takes into account any mask in the network data structure.

See Also

rbf, rbfpak, rbfgrad, rbfbkp
Pages: Index

Copyright (c) Ian T Nabney (1996-9)