# 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)