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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>