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
  • [11] Neuro-Fuzzy Evaluation of the Software Reliability Models by Adaptive Neuro Fuzzy Inference System
    Milos Milovancevic
    Aleksandar Dimov
    Kamen Boyanov Spasov
    Ljubomir Vračar
    Miroslav Planić
    Journal of Electronic Testing, 2021, 37 : 439 - 452
  • [12] The neuro-fuzzy network synthesis and simplification on precedents in problems of diagnosis and pattern recognition
    Subbotin S.
    Optical Memory and Neural Networks (Information Optics), 2013, 22 (02): : 97 - 103
  • [13] Neuro-Fuzzy Evaluation of the Software Reliability Models by Adaptive Neuro Fuzzy Inference System
    Milovancevic, Milos
    Dimov, Aleksandar
    Spasov, Kamen Boyanov
    Vracar, Ljubomir
    Planic, Miroslav
    JOURNAL OF ELECTRONIC TESTING-THEORY AND APPLICATIONS, 2021, 37 (04): : 439 - 452
  • [14] Rule base simplification and constrained learning for interpretability in TSK neuro-fuzzy modelling
    Rajab S.
    Rajab, Sharifa, 1600, IGI Global (09): : 31 - 58
  • [15] Neuro-Fuzzy Models in Global HTTP Request Distribution
    Zatwarnicki, Krzysztof
    COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, PT I, 2010, 6421 : 1 - 10
  • [16] Now comes the time to defuzzify neuro-fuzzy models
    Bersini, H
    Bontempi, G
    INTELLIGENT COMPONENTS AND INSTRUMENTS FOR CONTROL APPLICATIONS 1997 (SICICA'97), 1997, : 53 - 58
  • [17] Neuro-fuzzy models of thermoelectric power station installations
    Mastacan, Lucian
    Olah, Iosif
    Dosoftei, Catalin Constantin
    Ivana, Dorin
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 1, PROCEEDINGS, 2006, : 899 - +
  • [18] Parallelizing Neuro-fuzzy Economic Models in a GRID Environment
    Teodorescu, Horia-Nicolai
    Zbancioc, Marius-Dan
    Pistol, Laura
    STUDIES IN INFORMATICS AND CONTROL, 2008, 17 (01): : 5 - 16
  • [19] Neural and neuro-fuzzy models of toxic action of phenols
    Neagu, CDN
    Aptula, AO
    Gini, G
    2002 FIRST INTERNATIONAL IEEE SYMPOSIUM INTELLIGENT SYSTEMS, VOL 1, PROCEEDINGS, 2002, : 283 - 288
  • [20] Now comes the time to defuzzify neuro-fuzzy models
    Bersini, H
    Bontempi, G
    FUZZY SETS AND SYSTEMS, 1997, 90 (02) : 161 - 169
12345