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1 <html>
2 <head>
3 <title>
4 Netlab Reference Manual rbferr
5 </title>
6 </head>
7 <body>
8 <H1> rbferr
9 </H1>
10 <h2>
11 Purpose
12 </h2>
13 Evaluate error function for RBF network.
14
15 <p><h2>
16 Synopsis
17 </h2>
18 <PRE>
19 e = rbferr(net, x, t)
20 [e, edata, eprior] = rbferr(net, x, t)
21 </PRE>
22
23
24 <p><h2>
25 Description
26 </h2>
27 <CODE>e = rbferr(net, x, t)</CODE> takes a network data structure <CODE>net</CODE> together
28 with a matrix <CODE>x</CODE> of input
29 vectors and a matrix <CODE>t</CODE> of target vectors, and evaluates the
30 appropriate error function <CODE>e</CODE> depending on <CODE>net.outfn</CODE>.
31 Each row of <CODE>x</CODE> corresponds to one
32 input vector and each row of <CODE>t</CODE> contains the corresponding target vector.
33
34 <p><CODE>[e, edata, eprior] = rbferr(net, x, t)</CODE> additionally returns the
35 data and prior components of the error, assuming a zero mean Gaussian
36 prior on the weights with inverse variance parameters <CODE>alpha</CODE> and
37 <CODE>beta</CODE> taken from the network data structure <CODE>net</CODE>.
38
39 <p><h2>
40 See Also
41 </h2>
42 <CODE><a href="rbf.htm">rbf</a></CODE>, <CODE><a href="rbffwd.htm">rbffwd</a></CODE>, <CODE><a href="rbfgrad.htm">rbfgrad</a></CODE>, <CODE><a href="rbfpak.htm">rbfpak</a></CODE>, <CODE><a href="rbftrain.htm">rbftrain</a></CODE>, <CODE><a href="rbfunpak.htm">rbfunpak</a></CODE><hr>
43 <b>Pages:</b>
44 <a href="index.htm">Index</a>
45 <hr>
46 <p>Copyright (c) Ian T Nabney (1996-9)
47
48
49 </body>
50 </html>