# rbfjacob

## Purpose

Evaluate derivatives of RBF network outputs with respect to inputs.

## Synopsis

    g = rbfjacob(net, x)

## Description

`g = rbfjacob(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 input parameter `j` for input pattern `i`.

## See Also

`rbf`, `rbfgrad`, `rbfbkp`

Pages: Index

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