Boosting ensemble of relational neuro-fuzzy systems

被引：0
|
作者：
Scherer, Rafal
机构：
[1] Czestochowa Tech Univ, Dept Comp Engn, PL-42200 Czestochowa, Poland
[2] WSHE Univ Lodz, Dept Artificial Intelligence, Lodz, Poland
来源：
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2006, PROCEEDINGS | 2006年 / 4029卷
关键词：
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：
In the paper a boosting ensemble of neuro-fuzzy relational systems is created. Rules in relational fuzzy systems are more flexible than rules in linguistic fuzzy systems because of the additional weights in rule consequents. The weights come from an additional binary relation. Thanks to this, input and output fuzzy sets are related to each other with a certain degree. The size of the relations is determined by the number of input fuzzy sets and the number of output fuzzy sets. Simulations performed on popular benchmarks show that the proposed ensemble outperforms other learning systems.
引用
收藏
页码：306 / 313
页数：8
相关论文
共 50 条
  • [1] Merging ensemble of neuro-fuzzy systems
    Korytkowski, Marcin
    Nowicki, Robert
    Rutkowski, Leszek
    Scherer, Rafal
    2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2006, : 1954 - +
  • [2] DESIGNING BOOSTING ENSEMBLE OF RELATIONAL FUZZY SYSTEMS
    Scherer, Rafal
    INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2010, 20 (05) : 381 - 388
  • [3] Neuro-fuzzy relational classifiers
    Scherer, R
    Rutkowski, L
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2004, 2004, 3070 : 376 - 380
  • [4] Neuro-fuzzy relational systems for nonlinear approximation and prediction
    Scherer, Rafal
    NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, 2009, 71 (12) : E1420 - E1425
  • [5] An ensemble of logical-type neuro-fuzzy systems
    Scherer, Rafal
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (10) : 13115 - 13120
  • [6] Neuro-fuzzy Rough Classifier Ensemble
    Korytkowski, Marcin
    Nowicki, Robert
    Scherer, Rafal
    ARTIFICIAL NEURAL NETWORKS - ICANN 2009, PT I, 2009, 5768 : 817 - 823
  • [7] Neuro-fuzzy systems
    Kruse, R
    Nauck, D
    COMPUTATIONAL INTELLIGENCE: SOFT COMPUTING AND FUZZY-NEURO INTEGRATION WITH APPLICATIONS, 1998, 162 : 230 - 259
  • [8] Hierarchical Neuro-Fuzzy Systems
    Vellasco, M
    Pacheco, M
    Figueiredo, K
    COMPUTATIONAL METHODS IN NEURAL MODELING, PT 1, 2003, 2686 : 126 - 135
  • [9] Neuro-fuzzy systems and their applications
    Wilamowski, BM
    IECON '98 - PROCEEDINGS OF THE 24TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4, 1998, : T35 - T49
  • [10] Incremental neuro-fuzzy systems
    Fritzke, B
    APPLICATIONS OF SOFT COMPUTING, 1997, 3165 : 86 - 97
12345