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<title>
Netlab Reference Manual mdnerr
</title>
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<H1> mdnerr
</H1>
<h2>
Purpose
</h2>
Evaluate error function for Mixture Density Network.
<p><h2>
Synopsis
</h2>
<PRE>
e = mdnerr(net, x, t)
</PRE>
<p><h2>
Description
</h2>
<CODE>e = mdnerr(net, x, t)</CODE> takes a mixture density network data
structure <CODE>net</CODE>, a matrix <CODE>x</CODE> of input vectors and a matrix
<CODE>t</CODE> of target vectors, and evaluates the error function
<CODE>e</CODE>. The error function is the negative log likelihood of the
target data under the conditional density given by the mixture model
parameterised by the MLP. Each row of <CODE>x</CODE> corresponds to one
input vector and each row of <CODE>t</CODE> corresponds to one target vector.
<p><h2>
See Also
</h2>
<CODE><a href="mdn.htm">mdn</a></CODE>, <CODE><a href="mdnfwd.htm">mdnfwd</a></CODE>, <CODE><a href="mdngrad.htm">mdngrad</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
<hr>
<p>Copyright (c) Ian T Nabney (1996-9)
<p>David J Evans (1998)
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