# rbferr

## Purpose

Evaluate error function for RBF network.

## Synopsis

    e = rbferr(net, x, t)
    [e, edata, eprior] = rbferr(net, x, t)

## Description

`e = rbferr(net, x, t)` takes a network data structure `net` together with a matrix `x` of input vectors and a matrix `t` of target vectors, and evaluates the appropriate error function `e` depending on `net.outfn`. Each row of `x` corresponds to one input vector and each row of `t` contains the corresponding target vector.

`[e, edata, eprior] = rbferr(net, x, t)` additionally returns the data and prior components of the error, assuming a zero mean Gaussian prior on the weights with inverse variance parameters `alpha` and `beta` taken from the network data structure `net`.

## See Also

`rbf`, `rbffwd`, `rbfgrad`, `rbfpak`, `rbftrain`, `rbfunpak`

Pages: Index

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