Function Approximator Design

碩士 === 中華技術學院 === 電子工程研究所碩士班 === 94 === In this thesis, the implementation of function approximators based on Back Propagation Neural Network (PBNN)、Radial Basis Function Neural network (RBFNN) and Sum Of Product Neural Network (SOPNN) are proposed. It is well known that the structures of BPNN and R...

Full description

Bibliographic Details
Main Authors: Yu-Kun Wu, 吳育錕
Other Authors: Ying-Hao Lin
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/86363277643865617471