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| author | Daniel Wolff |
|---|---|
| date | Fri, 19 Aug 2016 13:07:06 +0200 |
| parents | |
| children |
| rev | line source |
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| Daniel@0 | 1 <html> |
| Daniel@0 | 2 <head> |
| Daniel@0 | 3 <title> |
| Daniel@0 | 4 Netlab Reference Manual mdnerr |
| Daniel@0 | 5 </title> |
| Daniel@0 | 6 </head> |
| Daniel@0 | 7 <body> |
| Daniel@0 | 8 <H1> mdnerr |
| Daniel@0 | 9 </H1> |
| Daniel@0 | 10 <h2> |
| Daniel@0 | 11 Purpose |
| Daniel@0 | 12 </h2> |
| Daniel@0 | 13 Evaluate error function for Mixture Density Network. |
| Daniel@0 | 14 |
| Daniel@0 | 15 <p><h2> |
| Daniel@0 | 16 Synopsis |
| Daniel@0 | 17 </h2> |
| Daniel@0 | 18 <PRE> |
| Daniel@0 | 19 e = mdnerr(net, x, t) |
| Daniel@0 | 20 </PRE> |
| Daniel@0 | 21 |
| Daniel@0 | 22 |
| Daniel@0 | 23 <p><h2> |
| Daniel@0 | 24 Description |
| Daniel@0 | 25 </h2> |
| Daniel@0 | 26 |
| Daniel@0 | 27 <CODE>e = mdnerr(net, x, t)</CODE> takes a mixture density network data |
| Daniel@0 | 28 structure <CODE>net</CODE>, a matrix <CODE>x</CODE> of input vectors and a matrix |
| Daniel@0 | 29 <CODE>t</CODE> of target vectors, and evaluates the error function |
| Daniel@0 | 30 <CODE>e</CODE>. The error function is the negative log likelihood of the |
| Daniel@0 | 31 target data under the conditional density given by the mixture model |
| Daniel@0 | 32 parameterised by the MLP. Each row of <CODE>x</CODE> corresponds to one |
| Daniel@0 | 33 input vector and each row of <CODE>t</CODE> corresponds to one target vector. |
| Daniel@0 | 34 |
| Daniel@0 | 35 <p><h2> |
| Daniel@0 | 36 See Also |
| Daniel@0 | 37 </h2> |
| Daniel@0 | 38 <CODE><a href="mdn.htm">mdn</a></CODE>, <CODE><a href="mdnfwd.htm">mdnfwd</a></CODE>, <CODE><a href="mdngrad.htm">mdngrad</a></CODE><hr> |
| Daniel@0 | 39 <b>Pages:</b> |
| Daniel@0 | 40 <a href="index.htm">Index</a> |
| Daniel@0 | 41 <hr> |
| Daniel@0 | 42 <p>Copyright (c) Ian T Nabney (1996-9) |
| Daniel@0 | 43 <p>David J Evans (1998) |
| Daniel@0 | 44 |
| Daniel@0 | 45 </body> |
| Daniel@0 | 46 </html> |