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Netlab Reference Manual demmlp2
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<H1> demmlp2
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<h2>
Purpose
</h2>
Demonstrate simple classification using a multi-layer perceptron
<p><h2>
Synopsis
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<PRE>
demmlp2</PRE>
<p><h2>
Description
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The problem consists of input data in two dimensions drawn from a mixture
of three Gaussians: two of which are assigned to a single class. An MLP
with logistic outputs trained with a quasi-Newton optimisation algorithm is
compared with the optimal Bayesian decision rule.
<p><h2>
See Also
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<CODE><a href="mlp.htm">mlp</a></CODE>, <CODE><a href="mlpfwd.htm">mlpfwd</a></CODE>, <CODE><a href="neterr.htm">neterr</a></CODE>, <CODE><a href="quasinew.htm">quasinew</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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