Extraction of similarity based fuzzy rules from artificial neural networks

被引：0
|
作者：
Mantas, C.J. [1 ]
Puche, J.M. [1 ]
Mantas, J.M. [2 ]
机构：
[1] Department of Computer Science and Artificial Intelligence, University of Granada, C/Periodista D. Saucedo Aranda s/n, 18071 Granada, Spain
[2] Department of Software Engineering, University of Granada, 18071 Granada, Spain
来源：
International Journal of Approximate Reasoning | 2006年 / 43卷 / 02期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Journal article (JA)
引用
收藏
页码：202 / 221
相关论文
共 50 条
  • [31] Neural networks from similarity based perspective
    Duch, W
    Adamczak, R
    Diercksen, GHF
    NEW FRONTIERS IN COMPUTATIONAL INTELLIGENCE AND ITS APPLICATIONS, 2000, 57 : 93 - 108
  • [32] Generating fuzzy if-then rules from trained neural networks: Linguistic analysis of neural networks
    Ishibuchi, H
    Nii, M
    ICNN - 1996 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS. 1-4, 1996, : 1133 - 1138
  • [33] Prior knowledge for fuzzy knowledge-based artificial neural networks from fuzzy set covering
    van Zyl, J
    Cloete, I
    2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2004, : 2413 - 2418
  • [34] Genetically optimized Hybrid Fuzzy Neural Networks based on linear fuzzy inference rules
    Oh, SK
    Park, BJ
    Kim, HK
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2005, 3 (02) : 183 - 194
  • [35] GA-based learning algorithms to identify fuzzy rules for fuzzy neural networks
    Almejalli, K.
    Dahal, K.
    Hossain, A.
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, 2007, : 289 - +
  • [36] Sensitivity measures for fuzzy numbers based on Artificial Neural Networks
    Pannier, S.
    Graf, W.
    APPLICATIONS OF STATISTICS AND PROBABILITY IN CIVIL ENGINEERING, 2011, : 497 - 505
  • [37] Evolving fuzzy neural networks for extracting rules
    Yao, SS
    Wei, CJ
    He, ZY
    FUZZ-IEEE '96 - PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 1996, : 361 - 367
  • [38] INTERPOLATION OF FUZZY IF-THEN RULES BY NEURAL NETWORKS
    ISHIBUCHI, H
    TANAKA, H
    OKADA, H
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 1994, 10 (01) : 3 - 27
  • [39] Evolving　Fuzzy　Neural　Networks　for　Extracting　Rules
    He Zhenya Yao Susu Wei Chengjian (Department of Radio Engineering
    Southeast University
    Nanjing 210096)
    通信学报 , 1997, (03) : 84 - 91
  • [40] Production Quality Modeling Based on Regression Rules Extracted from Trained Artificial Neural Networks
    Ning Yan
    Li Min
    Yang Jianhong
    Meng Kunyin
    2009 FOURTH INTERNATIONAL CONFERENCE ON SYSTEMS (ICONS), 2009, : 197 - 203
12345