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3 <title>
4 Netlab Reference Manual rbfjacob
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7 <body>
8 <H1> rbfjacob
9 </H1>
10 <h2>
11 Purpose
12 </h2>
13 Evaluate derivatives of RBF network outputs with respect to inputs.
14
15 <p><h2>
16 Synopsis
17 </h2>
18 <PRE>
19 g = rbfjacob(net, x)</PRE>
20
21
22 <p><h2>
23 Description
24 </h2>
25 <CODE>g = rbfjacob(net, x)</CODE> takes a network data structure <CODE>net</CODE>
26 and a matrix of input vectors <CODE>x</CODE> and returns a three-index matrix
27 <CODE>g</CODE> whose <CODE>i</CODE>, <CODE>j</CODE>, <CODE>k</CODE> element contains the
28 derivative of network output <CODE>k</CODE> with respect to input
29 parameter <CODE>j</CODE> for input pattern <CODE>i</CODE>.
30
31 <p><h2>
32 See Also
33 </h2>
34 <CODE><a href="rbf.htm">rbf</a></CODE>, <CODE><a href="rbfgrad.htm">rbfgrad</a></CODE>, <CODE><a href="rbfbkp.htm">rbfbkp</a></CODE><hr>
35 <b>Pages:</b>
36 <a href="index.htm">Index</a>
37 <hr>
38 <p>Copyright (c) Ian T Nabney (1996-9)
39
40
41 </body>
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