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: | Ya-Wun Tsai, 蔡雅雯 |
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Other Authors: | Jiann-Ming Wu |
Format: | Others |
Language: | en_US |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/47429415351269813028 |
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