Robust Radial basis function networks with linear interval regression for symbolic interval-values data
碩士 === 國立宜蘭大學 === 電機工程學系碩士班 === 99 === As in real life, a lot of information there may be exceptions, we will call it separation point (outliner), while the radial basis function (RBFNs) with the linear method of regression weights range and can not effectively deal with separation point issues rais...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/06772982827189326151 |