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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> |