Evolutionary Radial Basis Function Networks for Nonlinear Time Series Prediction

碩士 === 國立臺灣大學 === 資訊工程學系研究所 === 85 === We propose a new technique, referred as Evolutionary Radial Basis Function Networks (ERBFN), for training Radial Basis Function networks as time series predictors in this thesis. Our method extracts the ideas from both stochastic...

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Bibliographic Details
Main Authors: Wu, Mao-Cheng, 吳茂正
Other Authors: Cheng-Yan Kao
Format: Others
Language:zh-TW
Published: 1997
Online Access:http://ndltd.ncl.edu.tw/handle/95550039979484340758