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author Daniel Wolff
date Fri, 19 Aug 2016 13:07:06 +0200
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Daniel@0 1 <html>
Daniel@0 2 <head>
Daniel@0 3 <title>
Daniel@0 4 Netlab Reference Manual mlptrain
Daniel@0 5 </title>
Daniel@0 6 </head>
Daniel@0 7 <body>
Daniel@0 8 <H1> mlptrain
Daniel@0 9 </H1>
Daniel@0 10 <h2>
Daniel@0 11 Purpose
Daniel@0 12 </h2>
Daniel@0 13 Utility to train an MLP network for demtrain
Daniel@0 14
Daniel@0 15 <p><h2>
Daniel@0 16 Description
Daniel@0 17 </h2>
Daniel@0 18
Daniel@0 19 <p><CODE>[net, error] = mlptrain(net, x, t, its)</CODE> trains a network data
Daniel@0 20 structure <CODE>net</CODE> using the scaled conjugate gradient algorithm
Daniel@0 21 for <CODE>its</CODE> cycles with
Daniel@0 22 input data <CODE>x</CODE>, target data <CODE>t</CODE>.
Daniel@0 23
Daniel@0 24 <p><h2>
Daniel@0 25 See Also
Daniel@0 26 </h2>
Daniel@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>
Daniel@0 28 <b>Pages:</b>
Daniel@0 29 <a href="index.htm">Index</a>
Daniel@0 30 <hr>
Daniel@0 31 <p>Copyright (c) Ian T Nabney (1996-9)
Daniel@0 32
Daniel@0 33
Daniel@0 34 </body>
Daniel@0 35 </html>