Simplification of Neuro-Fuzzy Models

被引：0
|
作者：
Siminski, Krzysztof [1 ]
机构：
[1] Silesian Tech Univ, Inst Informat, PL-44100 Gliwice, Poland
来源：
MAN-MACHINE INTERACTIONS | 2009年 / 59卷
关键词：
neuro-fuzzy system; hierarchical partition; simplification; INFERENCE SYSTEM; IDENTIFICATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The neuro-fuzzy system presented in the paper is a system with parameterized consequences implementing hierarchical partition of the input domain. The regions are described with attributes values. In this system not all attribute values must be used to constitute the region. The attributes of minor importance may be ignored. The results of experiments show that the simplified model have less parameters and can achieve better generalisation ability.
引用
收藏
页码：265 / 272
页数：8
相关论文
共 50 条
  • [31] Face Recognition Based on Neuro-Fuzzy System
    Makhsoos, Nina Taheri
    Ebrahimpour, Reza
    Hajiany, Alireza
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2009, 9 (04): : 319 - 326
  • [32] Neuro-fuzzy tension controller for tandem rolling
    Janabi-Sharifi, F
    Liu, J
    PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 2002, : 309 - 314
  • [33] Memetic Neuro-Fuzzy System with Differential Optimisation
    Siminski, Krzysztof
    BEYOND DATABASES, ARCHITECTURES AND STRUCTURES, BDAS 2016, 2016, 613 : 135 - 145
  • [34] System identification through neuro-fuzzy methodologies
    Cuce, A
    DAngelo, G
    DiGuardo, M
    Giacalone, B
    Mazzaglia, S
    Vinci, C
    1ST INTERNATIONAL SYMPOSIUM ON NEURO-FUZZY SYSTEMS - AT'96, CONFERENCE REPORT, 1996, : 129 - 138
  • [35] Neuro-fuzzy system modeling based on automatic fuzzy clustering
    Yuangang TANG
    Journal of Control Theory and Applications, 2005, (02) : 121 - 130
  • [36] NEURO-FUZZY SYSTEM FOR AUTOMATION SYNTHESIS OF MATHEMATICAL MODELS FOR EVALUATING AN INDEX OF LEVEL OF BIOCOMFORT
    Tkachenko, R.
    Mashevska, M.
    RADIO ELECTRONICS COMPUTER SCIENCE CONTROL, 2012, 1 : 103 - 106
  • [37] Neuro-fuzzy system modeling based on automatic fuzzy clustering
    Yuangang Tang
    Fuchun Sun
    Zengqi Sun
    Journal of Control Theory and Applications, 2005, 3 (2): : 121 - 130
  • [38] Compressing Interpretable Representations of Piecewise Linear Neural Networks using Neuro-Fuzzy Models
    Glass, Leon
    Hilali, Wael
    Nelles, Oliver
    2021 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2021), 2021,
  • [39] Remark on Membership Functions in Neuro-Fuzzy Systems
    Siminski, Krzysztof
    MAN-MACHINE INTERACTIONS, 2009, 59 : 291 - 297
  • [40] Neuro-fuzzy learning with symbolic and numeric data
    D. D. Nauck
    Soft Computing, 2004, 8 : 383 - 396
12345