Supervised RBF learning for conditional density estimation and multi-valued function approximation
碩士 === 國立東華大學 === 應用數學系 === 97 === This work applies supervised learning of RBF (radial basis function) neural networks for data driven density estimation (DE), conditional density estimation (CDE) and multi-valued function approximation. An RBF neural network is organized to approximate the probabi...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/47429415351269813028 |