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Volumn 6, Issue 4, 1998, Pages 530-537

Improving the interpretability of TSK fuzzy models by combining global learning and local learning

Author keywords

Fuzzy modeling; Fuzzy systems; Learning algorithms; TSK model

Indexed keywords

COMPUTER SIMULATION; EFFICIENCY; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION;

EID: 0032205732     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/91.728447     Document Type: Article
Times cited : (292)

References (26)
  • 1
    • 84974743850 scopus 로고
    • Fuzzy model identification based on cluster estimation
    • S. L. Chiu, "Fuzzy model identification based on cluster estimation," J. Intell. Fuzzy Syst., vol. 2, pp. 267-278, 1994.
    • (1994) J. Intell. Fuzzy Syst. , vol.2 , pp. 267-278
    • Chiu, S.L.1
  • 2
    • 84936916896 scopus 로고
    • Robust locally weighted regression and smoothing scatterplots
    • W. S. Cleveland, "Robust locally weighted regression and smoothing scatterplots," J. Amer. Statistical Assoc., vol. 74, pp. 829-836, 1979.
    • (1979) J. Amer. Statistical Assoc. , vol.74 , pp. 829-836
    • Cleveland, W.S.1
  • 3
    • 34249982739 scopus 로고
    • Predicting chaotic time series
    • J. D. Farmer and J. Sidorowich, "Predicting chaotic time series," Physical Rev. Lett., vol. 59, pp. 845-848, 1987.
    • (1987) Physical Rev. Lett. , vol.59 , pp. 845-848
    • Farmer, J.D.1    Sidorowich, J.2
  • 8
    • 0029359001 scopus 로고
    • Selecting fuzzy IF-THEN rules for classification problems using genetic algorithms
    • Aug.
    • H. Ishibuchi, K. Nozaki, N. Yamamoto, and H. Tanaka, "Selecting fuzzy IF-THEN rules for classification problems using genetic algorithms," IEEE Trans. Fuzzy Syst., vol. 3, pp. 260-270, Aug. 1995.
    • (1995) IEEE Trans. Fuzzy Syst. , vol.3 , pp. 260-270
    • Ishibuchi, H.1    Nozaki, K.2    Yamamoto, N.3    Tanaka, H.4
  • 10
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference system
    • May/June
    • J.-S. R. Jang, "ANFIS: Adaptive-network-based fuzzy inference system," IEEE Trans. Syst., Man, Cybern., vol. 23, pp. 665-685, May/June 1993.
    • (1993) IEEE Trans. Syst., Man, Cybern. , vol.23 , pp. 665-685
    • Jang, J.-S.R.1
  • 11
    • 0029373515 scopus 로고
    • On the application of orthogonal transformation for the design and analysis of feedforward networks
    • P. P. Kanjilal and D. N. Banerjee, "On the application of orthogonal transformation for the design and analysis of feedforward networks," IEEE Trans. Neural Networks, vol. 6, pp. 1061-1070, 1995.
    • (1995) IEEE Trans. Neural Networks , vol.6 , pp. 1061-1070
    • Kanjilal, P.P.1    Banerjee, D.N.2
  • 12
    • 0030126567 scopus 로고    scopus 로고
    • Fuzzy models, modular networks, and hybrid learning
    • R. Langari and L. Wang, "Fuzzy models, modular networks, and hybrid learning," Fuzzy Sets Syst., vol. 79, pp. 141-150, 1996.
    • (1996) Fuzzy Sets Syst. , vol.79 , pp. 141-150
    • Langari, R.1    Wang, L.2
  • 13
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • J. Moody and C. J. Darken, "Fast learning in networks of locally-tuned processing units," Neural Computat., vol. 1, pp. 281-294, 1989.
    • (1989) Neural Computat. , vol.1 , pp. 281-294
    • Moody, J.1    Darken, C.J.2
  • 14
    • 0030405125 scopus 로고    scopus 로고
    • Designing fuzzy logic systems for uncertain environments using a singular-value-QR decomposition method
    • New Orleans, LA, Sept.
    • G. C. Mouzouris and J. M. Mendel, "Designing fuzzy logic systems for uncertain environments using a singular-value-QR decomposition method," in Proc. 5th IEEE Int. Conf. Fuzzy Syst., New Orleans, LA, Sept. 1996, pp. 295-301.
    • (1996) Proc. 5th IEEE Int. Conf. Fuzzy Syst. , pp. 295-301
    • Mouzouris, G.C.1    Mendel, J.M.2
  • 15
    • 0001724820 scopus 로고    scopus 로고
    • Local learning in local model networks
    • R. Murray-Smith and T. A. Johansen, Eds.. London, U.K.: Taylor Francis
    • R. Murray-Smith and T. A. Johansen, "Local learning in local model networks," in Multiple Model Approaches to Modeling and Control, R. Murray-Smith and T. A. Johansen, Eds.. London, U.K.: Taylor Francis, 1997, pp. 185-210.
    • (1997) Multiple Model Approaches to Modeling and Control , pp. 185-210
    • Murray-Smith, R.1    Johansen, T.A.2
  • 17
    • 0343486227 scopus 로고
    • Assessing the quality of learned local models
    • J. Cowen, G. Tesauro, and J. Alspector, Eds. San Francisco, CA: Morgan Kaufmann
    • S. Schaal and C. G. Atkeson, "Assessing the quality of learned local models," in Advances in Neural Information Processing Systems 6, J. Cowen, G. Tesauro, and J. Alspector, Eds. San Francisco, CA: Morgan Kaufmann, 1994, pp. 35-42.
    • (1994) Advances in Neural Information Processing Systems 6 , pp. 35-42
    • Schaal, S.1    Atkeson, C.G.2
  • 19
    • 45449126257 scopus 로고
    • Structure identification of fuzzy model
    • M. Sugeno and G. T. Kang, "Structure identification of fuzzy model," Fuzzy Sets Syst., vol. 28, pp. 15-33, 1988.
    • (1988) Fuzzy Sets Syst. , vol.28 , pp. 15-33
    • Sugeno, M.1    Kang, G.T.2
  • 21
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Jan.
    • T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control," IEEE Trans. Syst., Man, Cybern., vol. 15, pp. 116-132, Jan. 1985.
    • (1985) IEEE Trans. Syst., Man, Cybern. , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 23
    • 0030087291 scopus 로고    scopus 로고
    • Complex systems modeling via fuzzy logic
    • Feb.
    • L. Wang and R. Langari, "Complex systems modeling via fuzzy logic," IEEE Trans. Syst., Man, Cybern., vol. 26, pp. 100-106, Feb. 1996.
    • (1996) IEEE Trans. Syst., Man, Cybern. , vol.26 , pp. 100-106
    • Wang, L.1    Langari, R.2
  • 24
    • 0026928374 scopus 로고
    • Fuzzy basis functions, universal approximation, and orthogonal least squares learning
    • Sept.
    • L. X. Wang and J. M. Mendel, "Fuzzy basis functions, universal approximation, and orthogonal least squares learning," IEEE Trans. Neural Networks, vol. 3, pp. 807-814, Sept. 1992.
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 807-814
    • Wang, L.X.1    Mendel, J.M.2
  • 25
    • 33748040238 scopus 로고
    • Integrating global and local evaluations for fuzzy model identification using genetic algorithms
    • Sao Paolo, Brazil
    • J. Yen and W. Gillespie, "Integrating global and local evaluations for fuzzy model identification using genetic algorithms," in Proc. 6th Int. Fuzzy Syst. Assoc. World Congress (IFSA'95), Sao Paolo, Brazil, 1995.
    • (1995) Proc. 6th Int. Fuzzy Syst. Assoc. World Congress (IFSA'95)
    • Yen, J.1    Gillespie, W.2
  • 26
    • 0030660973 scopus 로고    scopus 로고
    • Simplification of fuzzy rule based systems using orthogonal transformation
    • Barcelona, Spain, July
    • J. Yen and L. Wang, "Simplification of fuzzy rule based systems using orthogonal transformation," in Proc. 6th IEEE Int. Conf. Fuzzy Syst., Barcelona, Spain, July 1997, pp. 253-258.
    • (1997) Proc. 6th IEEE Int. Conf. Fuzzy Syst. , pp. 253-258
    • Yen, J.1    Wang, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.