政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/64245

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 116918/147949 (79%)
Visitors : 64732596 Online Users : 1206

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 > Item 140.119/64245

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/64245

Title:	Continuous genetic algorithm-based fuzzy neural network for learning fuzzy IF-THEN rules
Authors:	Kuo,R.J.;Hong, S.M.;Lin,Y.;Huang, Y.C. 郭人介;洪叔民;黃永成
Contributors:	企管系
Keywords:	Fuzzy neural networks;Continuous genetic algorithms
Date:	2008-08
Issue Date:	2014-02-26 15:38:49 (UTC+8)
Abstract:	This study proposes a fuzzy neural network (FNN) that can process both fuzzy inputs and outputs. The continuous genetic algorithm (CGA) is employed to enhance its performance. Both the simulation and real-world problem results show that the proposed CGA-based FNN can obtain the relationship between fuzzy inputs and outputs. CGA can not only shorten the training time but also increase the accuracy for the FNN.
Relation:	Neurocomputing, 71(13-15), 2893-2907
Source URI:	http://dx.doi.org/10.1016/j.neucom.2007.07.013
Data Type:	article
DOI 連結:	http://dx.doi.org/http://dx.doi.org/10.1016/j.neucom.2007.07.013
DOI:	10.1016/j.neucom.2007.07.013
Appears in Collections:	[企業管理學系] 期刊論文

Files in This Item:

File	Description	Size	Format
28932907.pdf		388Kb	Adobe PDF2	1317	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...