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author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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<html> <head> <title> Netlab Reference Manual rbfsetbf </title> </head> <body> <H1> rbfsetbf </H1> <h2> Purpose </h2> Set basis functions of RBF from data. <p><h2> Synopsis </h2> <PRE> net = rbfsetbf(net, options, x) </PRE> <p><h2> Description </h2> <CODE>net = rbfsetbf(net, options, x)</CODE> sets the basis functions of the RBF network <CODE>net</CODE> so that they model the unconditional density of the dataset <CODE>x</CODE>. This is done by training a GMM with spherical covariances using <CODE>gmmem</CODE>. The <CODE>options</CODE> vector is passed to <CODE>gmmem</CODE>. The widths of the functions are set by a call to <CODE>rbfsetfw</CODE>. <p><h2> See Also </h2> <CODE><a href="rbftrain.htm">rbftrain</a></CODE>, <CODE><a href="rbfsetfw.htm">rbfsetfw</a></CODE>, <CODE><a href="gmmem.htm">gmmem</a></CODE><hr> <b>Pages:</b> <a href="index.htm">Index</a> <hr> <p>Copyright (c) Ian T Nabney (1996-9) </body> </html>