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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 mixtureof three Gaussians: two of which are assigned to a single class.  An MLPwith logistic outputs trained with a quasi-Newton optimisation algorithm iscompared 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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