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+<html>
+<head>
+<title>
+Netlab Reference Manual demmlp2
+</title>
+</head>
+<body>
+<H1> demmlp2
+</H1>
+<h2>
+Purpose
+</h2>
+Demonstrate simple classification using a multi-layer perceptron
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+demmlp2</PRE>
+
+
+<p><h2>
+Description
+</h2>
+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
+</h2>
+<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)
+
+
+</body>
+</html>
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