Weight training for performance optimization in fuzzy neural network

Hui Chen Chang, Yau Tarng Juang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

An algorithm for improving performance by training a fuzzy neural network (FNN) based on the back-propagation (BP) algorithm and grey relations is proposed. This technique is developed by directly incorporating the grey relational coefficient (GRC) into the learning rule of the BP, and a BP with GRC technique is proposed in order to improve the performance of training the FNN. From the simulation results, we demonstrate this technique applied for controlling a nonlinear fuzzy model car system and find the result is better than the classical BP algorithm for training the FNN.

原文???core.languages.en_GB???
主出版物標題Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
發行者Springer Verlag
頁面596-603
頁數8
ISBN(列印)3540288945, 9783540288947
DOIs
出版狀態已出版 - 2005
事件9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
持續時間: 14 9月 200516 9月 2005

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3681 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

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???event.eventtypes.event.conference???9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
國家/地區Australia
城市Melbourne
期間14/09/0516/09/05

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