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rbfjacob.htm
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<html>
<head>
<title>
Netlab Reference Manual rbfjacob
</title>
</head>
<body>
<H1> rbfjacob
</H1>
<h2>
Purpose
</h2>
Evaluate derivatives of RBF network outputs with respect to inputs.
<p><h2>
Synopsis
</h2>
<PRE>
g = rbfjacob(net, x)</PRE>
<p><h2>
Description
</h2>
<CODE>g = rbfjacob(net, x)</CODE> takes a network data structure <CODE>net</CODE>
and a matrix of input vectors <CODE>x</CODE> and returns a three-index matrix
<CODE>g</CODE> whose <CODE>i</CODE>, <CODE>j</CODE>, <CODE>k</CODE> element contains the
derivative of network output <CODE>k</CODE> with respect to input
parameter <CODE>j</CODE> for input pattern <CODE>i</CODE>.
<p><h2>
See Also
</h2>
<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>
<b>Pages:</b>
<a href="index.htm">Index</a>
<hr>
<p>Copyright (c) Ian T Nabney (1996-9)
</body>
</html>