메뉴 건너뛰기




Volumn 3641 LNAI, Issue , 2005, Pages 402-411

Interpretable rule extraction and function approximation from numerical input/output data using the modified fuzzy TSK model, TaSe model

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; FUZZY SETS; INFERENCE ENGINES; NONLINEAR SYSTEMS; NUMERICAL ANALYSIS; OPTIMIZATION; PROBLEM SOLVING; PROGRAM INTERPRETERS;

EID: 33645965594     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11548669_42     Document Type: Conference Paper
Times cited : (3)

References (14)
  • 1
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modelling and control
    • Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modelling and control. IEEE Trans. Syst. Man and Cyber. 15 (1985) 116-132
    • (1985) IEEE Trans. Syst. Man and Cyber. , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 2
    • 0035360372 scopus 로고    scopus 로고
    • Designing fuzzy inference systems from data: An interpretability-oriented review
    • Guillaume, S.: Designing fuzzy inference systems from data: an interpretability-oriented review, IEEE Trans. Fuz. Syst. 9 (2001) 426-U443.
    • (2001) IEEE Trans. Fuz. Syst. , vol.9
    • Guillaume, S.1
  • 3
    • 0346076776 scopus 로고    scopus 로고
    • Multiobjective identification of takagi-sugeno fuzzy models
    • Johansen, T.A., Babuska, R.: Multiobjective Identification of Takagi-Sugeno Fuzzy Models. IEEE Trans. Fuz. Syst. 11(6) (2003) 847-860
    • (2003) IEEE Trans. Fuz. Syst. , vol.11 , Issue.6 , pp. 847-860
    • Johansen, T.A.1    Babuska, R.2
  • 4
    • 4344685199 scopus 로고    scopus 로고
    • Interpretability and learning in neuro-fuzzy systems
    • Paiva, R.P., Dourado, A.: Interpretability and learning in neuro-fuzzy systems, Fuzzy Sets and Systems, 147 (2004) 17-U38
    • (2004) Fuzzy Sets and Systems , vol.147
    • Paiva, R.P.1    Dourado, A.2
  • 6
    • 0033692031 scopus 로고    scopus 로고
    • A systematic approach to a self-generating fuzzy rule-table for function approximation
    • Pomares, H., Rojas, I., Ortega, J., Prieto, A.: A systematic approach to a self-generating fuzzy rule-table for function approximation. IEEE Trans. Syst., Man, Cybern. 30 (2000) 431-447
    • (2000) IEEE Trans. Syst., Man, Cybern. , vol.30 , pp. 431-447
    • Pomares, H.1    Rojas, I.2    Ortega, J.3    Prieto, A.4
  • 7
    • 84974743850 scopus 로고
    • Fuzzy model identification based on cluster estimation
    • Chiu, S.: Fuzzy Model Identification Based on Cluster Estimation. Journal of Intelligent and Fuzzy Systems, 2(3) (1994)
    • (1994) Journal of Intelligent and Fuzzy Systems , vol.2 , Issue.3
    • Chiu, S.1
  • 9
    • 10844256522 scopus 로고    scopus 로고
    • Improving the interpretability of Takagi-Sugeno fuzzy model by using linguistic modifiers and a multiple objective learning scheme
    • Zhou, S.M., Gan, J.Q.: Improving the interpretability of Takagi-Sugeno fuzzy model by using linguistic modifiers and a multiple objective learning scheme. Int. Joint Conf. on Neural Networks IJCNN (2004) 2385-2390
    • (2004) Int. Joint Conf. on Neural Networks IJCNN , pp. 2385-2390
    • Zhou, S.M.1    Gan, J.Q.2
  • 10
    • 0033280731 scopus 로고    scopus 로고
    • A highly interpretable form of Sugeno inference systems
    • Bikdash, M.: A Highly Interpretable Form of Sugeno Inference Systems. IEEE Trans. Fuz. Syst. 7(6) (1999) 686-696
    • (1999) IEEE Trans. Fuz. Syst. , vol.7 , Issue.6 , pp. 686-696
    • Bikdash, M.1
  • 11
    • 9444239779 scopus 로고    scopus 로고
    • Function approximation through fuzzy systems using Taylor series expansion-based rules: Interpretability and parameter tuning
    • New York: Springer-Verlag
    • Herrera, L.J., Pomares, H., Rojas, I., Gonález, J., Valenzuela, O.: Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning. Lecture Notes in Computer Science. New York: Springer-Verlag, 2972 252-261
    • Lecture Notes in Computer Science , vol.2972 , pp. 252-261
    • Herrera, L.J.1    Pomares, H.2    Rojas, I.3    Gonález, J.4    Valenzuela, O.5
  • 13
    • 0030141895 scopus 로고    scopus 로고
    • Fuzzy sets of rules for system identification
    • Rovatti, R., Guerrieri, R.: Fuzzy Sets of Rules for System Identification, IEEE Trans. Fuz. Syst. 4(2) (1996) 89-102
    • (1996) IEEE Trans. Fuz. Syst. , vol.4 , Issue.2 , pp. 89-102
    • Rovatti, R.1    Guerrieri, R.2
  • 14
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • Moody, J., Darken, C.J.: Fast learning in networks of locally-tuned processing units. Neural Computation 1(2) (1989) 281-294
    • (1989) Neural Computation , vol.1 , Issue.2 , pp. 281-294
    • Moody, J.1    Darken, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.