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Netlab Reference Manual demolgd1
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<H1> demolgd1
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Purpose
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Demonstrate simple MLP optimisation with on-line gradient descent

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Synopsis
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<PRE>
demolgd1</PRE>


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Description
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The problem consists of one input variable <CODE>x</CODE> and one target variable
<CODE>t</CODE> with data generated by sampling <CODE>x</CODE> at equal intervals and then
generating target data by computing <CODE>sin(2*pi*x)</CODE> and adding Gaussian
noise. A 2-layer network with linear outputs is trained by minimizing a
sum-of-squares error function using on-line gradient descent.

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See Also
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<CODE><a href="demmlp1.htm">demmlp1</a></CODE>, <CODE><a href="olgd.htm">olgd</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
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<p>Copyright (c) Ian T Nabney (1996-9)


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author	Daniel Wolff
date	Fri, 19 Aug 2016 13:07:06 +0200
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