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