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Netlab Reference Manual rbferr
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<H1> rbferr
</H1>
<h2>
Purpose
</h2>
Evaluate error function for RBF network.

<p><h2>
Synopsis
</h2>
<PRE>
e = rbferr(net, x, t)
[e, edata, eprior] = rbferr(net, x, t)
</PRE>


<p><h2>
Description
</h2>
<CODE>e = rbferr(net, x, t)</CODE> takes a network data structure <CODE>net</CODE> together 
with a matrix <CODE>x</CODE> of input
vectors and a matrix <CODE>t</CODE> of target vectors, and evaluates the
appropriate error function <CODE>e</CODE> depending on <CODE>net.outfn</CODE>. 
Each row of <CODE>x</CODE> corresponds to one
input vector and each row of <CODE>t</CODE> contains the corresponding target vector.

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

<p><h2>
See Also
</h2>
<CODE><a href="rbf.htm">rbf</a></CODE>, <CODE><a href="rbffwd.htm">rbffwd</a></CODE>, <CODE><a href="rbfgrad.htm">rbfgrad</a></CODE>, <CODE><a href="rbfpak.htm">rbfpak</a></CODE>, <CODE><a href="rbftrain.htm">rbftrain</a></CODE>, <CODE><a href="rbfunpak.htm">rbfunpak</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
<hr>
<p>Copyright (c) Ian T Nabney (1996-9)


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