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...

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Bibliographic Details
Main Authors: Ya-Wun Tsai, 蔡雅雯
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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