Radial basis function networks with linear interval regression weights for symbolic interval-values data
碩士 === 國立宜蘭大學 === 電機工程學系碩士班 === 97 === This paper introduces a new structure of radial basis function networks (RBFNs) to modeling the symbolic interval-values data. In the structure, the Gaussian functions and the synaptic weights in the structure of the traditional RBFNs are replaced by the Gaussi...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/98329780757511352970 |