📄 glmfwd.htm
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<html><head><title>Netlab Reference Manual glmfwd</title></head><body><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 modeldata structure <CODE>net</CODE> together witha matrix <CODE>x</CODE> of input vectors, and forward propagates the inputsthrough the network to generate a matrix <CODE>y</CODE> of outputvectors. Each row of <CODE>x</CODE> corresponds to one input vector and eachrow 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 rowcorresponds 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)</body></html>⌨️ 快捷键说明
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