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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 rbfgrad | |
| 5 </title> | |
| 6 </head> | |
| 7 <body> | |
| 8 <H1> rbfgrad | |
| 9 </H1> | |
| 10 <h2> | |
| 11 Purpose | |
| 12 </h2> | |
| 13 Evaluate gradient of error function for RBF network. | |
| 14 | |
| 15 <p><h2> | |
| 16 Synopsis | |
| 17 </h2> | |
| 18 <PRE> | |
| 19 | |
| 20 g = rbfgrad(net, x, t) | |
| 21 [g, gdata, gprior] = rbfgrad(net, x, t) | |
| 22 </PRE> | |
| 23 | |
| 24 | |
| 25 <p><h2> | |
| 26 Description | |
| 27 </h2> | |
| 28 <CODE>g = rbfgrad(net, x, t)</CODE> takes a network data structure <CODE>net</CODE> | |
| 29 together with a matrix <CODE>x</CODE> of input | |
| 30 vectors and a matrix <CODE>t</CODE> of target vectors, and evaluates the gradient | |
| 31 <CODE>g</CODE> of the error function with respect to the network weights (i.e. | |
| 32 including the hidden unit parameters). The error | |
| 33 function is sum of squares. | |
| 34 Each row of <CODE>x</CODE> corresponds to one | |
| 35 input vector and each row of <CODE>t</CODE> contains the corresponding target vector. | |
| 36 If the output function is <CODE>'neuroscale'</CODE> then the gradient is only | |
| 37 computed for the output layer weights and biases. | |
| 38 | |
| 39 <p><CODE>[g, gdata, gprior] = rbfgrad(net, x, t)</CODE> also returns separately | |
| 40 the data and prior contributions to the gradient. In the case of | |
| 41 multiple groups in the prior, <CODE>gprior</CODE> is a matrix with a row | |
| 42 for each group and a column for each weight parameter. | |
| 43 | |
| 44 <p><h2> | |
| 45 See Also | |
| 46 </h2> | |
| 47 <CODE><a href="rbf.htm">rbf</a></CODE>, <CODE><a href="rbffwd.htm">rbffwd</a></CODE>, <CODE><a href="rbferr.htm">rbferr</a></CODE>, <CODE><a href="rbfpak.htm">rbfpak</a></CODE>, <CODE><a href="rbfunpak.htm">rbfunpak</a></CODE>, <CODE><a href="rbfbkp.htm">rbfbkp</a></CODE><hr> | |
| 48 <b>Pages:</b> | |
| 49 <a href="index.htm">Index</a> | |
| 50 <hr> | |
| 51 <p>Copyright (c) Ian T Nabney (1996-9) | |
| 52 | |
| 53 | |
| 54 </body> | |
| 55 </html> |