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1 <html>
2 <head>
3 <title>
4 Netlab Reference Manual rbfunpak
5 </title>
6 </head>
7 <body>
8 <H1> rbfunpak
9 </H1>
10 <h2>
11 Purpose
12 </h2>
13 Separates a vector of RBF weights into its components.
14
15 <p><h2>
16 Synopsis
17 </h2>
18 <PRE>
19 net = rbfunpak(net, w)
20 </PRE>
21
22
23 <p><h2>
24 Description
25 </h2>
26 <CODE>net = rbfunpak(net, w)</CODE> takes an RBF network data structure <CODE>net</CODE> and
27 a weight vector <CODE>w</CODE>, and returns a network data structure identical to
28 the input network, except that the centres
29 <CODE>c</CODE>, the widths <CODE>wi</CODE>, the second-layer
30 weight matrix <CODE>w2</CODE> and the second-layer bias vector <CODE>b2</CODE> have all
31 been set to the corresponding elements of <CODE>w</CODE>.
32
33 <p><h2>
34 See Also
35 </h2>
36 <CODE><a href="rbfpak.htm">rbfpak</a></CODE>, <CODE><a href="rbf.htm">rbf</a></CODE><hr>
37 <b>Pages:</b>
38 <a href="index.htm">Index</a>
39 <hr>
40 <p>Copyright (c) Ian T Nabney (1996-9)
41
42
43 </body>
44 </html>