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wolffd@0 1 <html>
wolffd@0 2 <head>
wolffd@0 3 <title>
wolffd@0 4 Netlab Reference Manual glmfwd
wolffd@0 5 </title>
wolffd@0 6 </head>
wolffd@0 7 <body>
wolffd@0 8 <H1> glmfwd
wolffd@0 9 </H1>
wolffd@0 10 <h2>
wolffd@0 11 Purpose
wolffd@0 12 </h2>
wolffd@0 13 Forward propagation through generalized linear model.
wolffd@0 14
wolffd@0 15 <p><h2>
wolffd@0 16 Synopsis
wolffd@0 17 </h2>
wolffd@0 18 <PRE>
wolffd@0 19 y = glmfwd(net, x)
wolffd@0 20 [y, a] = glmfwd(net, x)
wolffd@0 21 </PRE>
wolffd@0 22
wolffd@0 23
wolffd@0 24 <p><h2>
wolffd@0 25 Description
wolffd@0 26 </h2>
wolffd@0 27 <CODE>y = glmfwd(net, x)</CODE> takes a generalized linear model
wolffd@0 28 data structure <CODE>net</CODE> together with
wolffd@0 29 a matrix <CODE>x</CODE> of input vectors, and forward propagates the inputs
wolffd@0 30 through the network to generate a matrix <CODE>y</CODE> of output
wolffd@0 31 vectors. Each row of <CODE>x</CODE> corresponds to one input vector and each
wolffd@0 32 row of <CODE>y</CODE> corresponds to one output vector.
wolffd@0 33
wolffd@0 34 <p><CODE>[y, a] = glmfwd(net, x)</CODE> also returns a matrix <CODE>a</CODE>
wolffd@0 35 giving the summed inputs to each output unit, where each row
wolffd@0 36 corresponds to one pattern.
wolffd@0 37
wolffd@0 38 <p><h2>
wolffd@0 39 See Also
wolffd@0 40 </h2>
wolffd@0 41 <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>
wolffd@0 42 <b>Pages:</b>
wolffd@0 43 <a href="index.htm">Index</a>
wolffd@0 44 <hr>
wolffd@0 45 <p>Copyright (c) Ian T Nabney (1996-9)
wolffd@0 46
wolffd@0 47
wolffd@0 48 </body>
wolffd@0 49 </html>