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| author | wolffd |
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| date | Tue, 10 Feb 2015 15:05:51 +0000 |
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| 1 <html> | |
| 2 <head> | |
| 3 <title> | |
| 4 Netlab Reference Manual rbfsetbf | |
| 5 </title> | |
| 6 </head> | |
| 7 <body> | |
| 8 <H1> rbfsetbf | |
| 9 </H1> | |
| 10 <h2> | |
| 11 Purpose | |
| 12 </h2> | |
| 13 Set basis functions of RBF from data. | |
| 14 | |
| 15 <p><h2> | |
| 16 Synopsis | |
| 17 </h2> | |
| 18 <PRE> | |
| 19 net = rbfsetbf(net, options, x) | |
| 20 </PRE> | |
| 21 | |
| 22 | |
| 23 <p><h2> | |
| 24 Description | |
| 25 </h2> | |
| 26 <CODE>net = rbfsetbf(net, options, x)</CODE> sets the basis functions of the | |
| 27 RBF network <CODE>net</CODE> so that they model the unconditional density of the | |
| 28 dataset <CODE>x</CODE>. This is done by training a GMM with spherical covariances | |
| 29 using <CODE>gmmem</CODE>. The <CODE>options</CODE> vector is passed to <CODE>gmmem</CODE>. | |
| 30 The widths of the functions are set by a call to <CODE>rbfsetfw</CODE>. | |
| 31 | |
| 32 <p><h2> | |
| 33 See Also | |
| 34 </h2> | |
| 35 <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> | |
| 36 <b>Pages:</b> | |
| 37 <a href="index.htm">Index</a> | |
| 38 <hr> | |
| 39 <p>Copyright (c) Ian T Nabney (1996-9) | |
| 40 | |
| 41 | |
| 42 </body> | |
| 43 </html> |