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author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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wolffd@0 1 <html>
wolffd@0 2 <head>
wolffd@0 3 <title>
wolffd@0 4 Netlab Reference Manual mlptrain
wolffd@0 5 </title>
wolffd@0 6 </head>
wolffd@0 7 <body>
wolffd@0 8 <H1> mlptrain
wolffd@0 9 </H1>
wolffd@0 10 <h2>
wolffd@0 11 Purpose
wolffd@0 12 </h2>
wolffd@0 13 Utility to train an MLP network for demtrain
wolffd@0 14
wolffd@0 15 <p><h2>
wolffd@0 16 Description
wolffd@0 17 </h2>
wolffd@0 18
wolffd@0 19 <p><CODE>[net, error] = mlptrain(net, x, t, its)</CODE> trains a network data
wolffd@0 20 structure <CODE>net</CODE> using the scaled conjugate gradient algorithm
wolffd@0 21 for <CODE>its</CODE> cycles with
wolffd@0 22 input data <CODE>x</CODE>, target data <CODE>t</CODE>.
wolffd@0 23
wolffd@0 24 <p><h2>
wolffd@0 25 See Also
wolffd@0 26 </h2>
wolffd@0 27 <CODE><a href="demtrain.htm">demtrain</a></CODE>, <CODE><a href="scg.htm">scg</a></CODE>, <CODE><a href="netopt.htm">netopt</a></CODE><hr>
wolffd@0 28 <b>Pages:</b>
wolffd@0 29 <a href="index.htm">Index</a>
wolffd@0 30 <hr>
wolffd@0 31 <p>Copyright (c) Ian T Nabney (1996-9)
wolffd@0 32
wolffd@0 33
wolffd@0 34 </body>
wolffd@0 35 </html>