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<title>
Netlab Reference Manual glmfwd
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<H1> glmfwd
</H1>
<h2>
Purpose
</h2>
Forward propagation through generalized linear model.
<p><h2>
Synopsis
</h2>
<PRE>
y = glmfwd(net, x)
[y, a] = glmfwd(net, x)
</PRE>
<p><h2>
Description
</h2>
<CODE>y = glmfwd(net, x)</CODE> takes a generalized linear model
data structure <CODE>net</CODE> together with
a matrix <CODE>x</CODE> of input vectors, and forward propagates the inputs
through the network to generate a matrix <CODE>y</CODE> of output
vectors. Each row of <CODE>x</CODE> corresponds to one input vector and each
row of <CODE>y</CODE> corresponds to one output vector.
<p><CODE>[y, a] = glmfwd(net, x)</CODE> also returns a matrix <CODE>a</CODE>
giving the summed inputs to each output unit, where each row
corresponds to one pattern.
<p><h2>
See Also
</h2>
<CODE><a href="glm.htm">glm</a></CODE>, <CODE><a href="glmpak.htm">glmpak</a></CODE>, <CODE><a href="glmunpak.htm">glmunpak</a></CODE>, <CODE><a href="glmerr.htm">glmerr</a></CODE>, <CODE><a href="glmgrad.htm">glmgrad</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
<hr>
<p>Copyright (c) Ian T Nabney (1996-9)
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