Improved Radial Basis Function Neural Network for the Outliers and Heteroscedasticity/Skewness Noises and Its Application
碩士 === 國立臺灣科技大學 === 電機工程系 === 98 === In this thesis, we propose the least trimmed squares-support vector regression radial basis function network (LTS-SVR RBFN) and transformation based LTS-SVR. The aim of the LTS-SVR RBFN degrades the affection of the outliers and the large noises for modeling prob...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/05302393733029979823 |