Enhanced weighted kernel regression with prior knowledge in solving small sample problems
Previously, weighted kernel regression (WKR) for solving small samples problem has been reported. In general, WKR has proven to be effective when learning from small samples as compared to artificial neural network with back-propagation (ANNBP) and some other techniques. In order to extend the capab...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2011
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| Online Access: | http://eprints.utm.my/id/eprint/45825/ http://dx.doi.org/10.1016/j.proeng.2012.07.146 |
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