메뉴 건너뛰기




Volumn 8, Issue 1, 2000, Pages 23-36

Self-organized fuzzy system generation from training examples

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; FUZZY SETS; IDENTIFICATION (CONTROL SYSTEMS); KNOWLEDGE BASED SYSTEMS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; OPTIMIZATION; TOPOLOGY;

EID: 0033876069     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/91.824763     Document Type: Article
Times cited : (125)

References (45)
  • 1
    • 0030196823 scopus 로고    scopus 로고
    • Comparison of adaptive methods for function estimation from samples
    • July
    • V. Cherkassky, D. Gehring, and F. Mulier, "Comparison of adaptive methods for function estimation from samples," IEEE Trans. Neural Networks, vol. 7, pp. 969-984, July 1996.
    • (1996) IEEE Trans. Neural Networks , vol.7 , pp. 969-984
    • Cherkassky, V.1    Gehring, D.2    Mulier, F.3
  • 2
  • 3
    • 0030141895 scopus 로고    scopus 로고
    • Fuzzy sets of rules for system identification
    • May
    • R. Rovatti and R. Guerrieri, "Fuzzy sets of rules for system identification," IEEE Trans. Fuzzy Syst., vol. 4, pp. 89-102, May 1996.
    • (1996) IEEE Trans. Fuzzy Syst. , vol.4 , pp. 89-102
    • Rovatti, R.1    Guerrieri, R.2
  • 4
    • 0026943536 scopus 로고
    • Generating fuzzy rules by learning from examples
    • Nov./Dec.
    • L. X. Wang and J. M. Mendel, "Generating fuzzy rules by learning from examples," IEEE Trans. Syst., Man, Cybern., vol. 22, no. 6, pp. 1414-1427, Nov./Dec. 1992.
    • (1992) IEEE Trans. Syst., Man, Cybern. , vol.22 , Issue.6 , pp. 1414-1427
    • Wang, L.X.1    Mendel, J.M.2
  • 5
    • 0030286375 scopus 로고    scopus 로고
    • Rule-based modeling: Fast construction and optimal manipulation
    • Nov.
    • J. H. Nie and T. H. Lee, "Rule-based modeling: Fast construction and optimal manipulation," IEEE Trans. Syst., Man, Cybern. - Part A, vol. 26, pp. 728-738, Nov. 1996.
    • (1996) IEEE Trans. Syst., Man, Cybern. - Part A , vol.26 , pp. 728-738
    • Nie, J.H.1    Lee, T.H.2
  • 6
    • 0030085145 scopus 로고    scopus 로고
    • Reorganizing knowledge in neural networks: An explanatory mechanism for neural networks in data classification problems
    • Feb.
    • H. Narazaki, T. Watanabe, and M. Yamamoto, "Reorganizing knowledge in neural networks: An explanatory mechanism for neural networks in data classification problems," IEEE Trans. Syst., Man, Cybern. - Part B, vol. 26, pp. 107-117, Feb. 1996.
    • (1996) IEEE Trans. Syst., Man, Cybern. - Part B , vol.26 , pp. 107-117
    • Narazaki, H.1    Watanabe, T.2    Yamamoto, M.3
  • 7
    • 0029236388 scopus 로고
    • A method for extracting approximate rules from neural networks
    • Yokohama, Japan, Mar.
    • H. Narazaki, I. Shigaki, and T. Watanabe, "A method for extracting approximate rules from neural networks," in Proc. FUZZ-IEEE, Yokohama, Japan, Mar. 1995, pp. 1865-1870.
    • (1995) Proc. FUZZ-IEEE , pp. 1865-1870
    • Narazaki, H.1    Shigaki, I.2    Watanabe, T.3
  • 8
    • 0026993014 scopus 로고
    • Automated fuzzy knowledge base generation and tuning
    • San Diego, CA, Mar.
    • D. G. Burkharddt and P. P. Bonissone, "Automated fuzzy knowledge base generation and tuning," in Proc. FUZZ-IEEE, San Diego, CA, Mar. 1992, pp. 179-188.
    • (1992) Proc. FUZZ-IEEE , pp. 179-188
    • Burkharddt, D.G.1    Bonissone, P.P.2
  • 9
    • 0030289773 scopus 로고    scopus 로고
    • Induction of fuzzy rules and membership functions from training examples
    • T. Hong and C. Lee, "Induction of fuzzy rules and membership functions from training examples," Fuzzy Sets Syst., vol. 84, pp. 33-37, 1996.
    • (1996) Fuzzy Sets Syst. , vol.84 , pp. 33-37
    • Hong, T.1    Lee, C.2
  • 10
    • 0026998481 scopus 로고
    • A learning method of fuzzy inference rules by descent method
    • San Diego, CA, Mar.
    • H. Nomura, I. Hayashi, and N. Wakami, "A learning method of fuzzy inference rules by descent method," in Proc. FUZZ-IEEE, San Diego, CA, Mar. 1992, pp. 203-210.
    • (1992) Proc. FUZZ-IEEE , pp. 203-210
    • Nomura, H.1    Hayashi, I.2    Wakami, N.3
  • 11
    • 0002907696 scopus 로고
    • The evaluation of fuzzy model derived from experimental data
    • R. M. Tong, "The evaluation of fuzzy model derived from experimental data," Fuzzy Sets Syst., vol. 4, pp. 1-12, 1980.
    • (1980) Fuzzy Sets Syst. , vol.4 , pp. 1-12
    • Tong, R.M.1
  • 12
    • 0028409149 scopus 로고
    • Adaptive probabilities of crossover and mutation in genetic algorithms
    • Apr.
    • M. Srinivas and L. M. Patnaik, "Adaptive probabilities of crossover and mutation in genetic algorithms," IEEE Trans. Syst., Man, Cybern., vol. 24, pp. 656-666, Apr. 1994.
    • (1994) IEEE Trans. Syst., Man, Cybern. , vol.24 , pp. 656-666
    • Srinivas, M.1    Patnaik, L.M.2
  • 13
    • 0029209102 scopus 로고
    • Fuzzy rules extraction directly from numerical data for function approximation
    • Jan.
    • S. Abe and M. S. Lan, "Fuzzy rules extraction directly from numerical data for function approximation," IEEE Trans. Syst., Man, Cybern., vol. 25, pp. 119-129, Jan. 1995.
    • (1995) IEEE Trans. Syst., Man, Cybern. , vol.25 , pp. 119-129
    • Abe, S.1    Lan, M.S.2
  • 14
    • 0028375326 scopus 로고
    • Interpolation, completion, and learning fuzzy rules
    • Feb.
    • T. Sudkamp and R. J. Hammell, "Interpolation, completion, and learning fuzzy rules, "IEEE Trans. Syst., Man, Cybern.,vol. 24, pp. 332-342, Feb. 1994.
    • (1994) IEEE Trans. Syst., Man, Cybern. , vol.24 , pp. 332-342
    • Sudkamp, T.1    Hammell, R.J.2
  • 16
    • 0029216615 scopus 로고
    • Fuzzy modeling in an intelligent data browser
    • Yokohama, Japan, Mar.
    • J. F. Baldwin and T. P. Martin, "Fuzzy modeling in an intelligent data browser," in Proc. FUZZ-IEEE, Yokohama, Japan, Mar. 1995, pp. 1885-1890.
    • (1995) Proc. FUZZ-IEEE , pp. 1885-1890
    • Baldwin, J.F.1    Martin, T.P.2
  • 17
    • 0001686731 scopus 로고    scopus 로고
    • A mass assignment theory of the probability of fuzzy events
    • J. F. Baldwin, J. Lawry, and T. P. Martin, "A mass assignment theory of the probability of fuzzy events," Fuzzy Sets Syst., vol. 83, pp. 353-367, 1996.
    • (1996) Fuzzy Sets Syst. , vol.83 , pp. 353-367
    • Baldwin, J.F.1    Lawry, J.2    Martin, T.P.3
  • 18
    • 0028480740 scopus 로고
    • Classification by fuzzy integral: Performance and tests
    • M. Grabish and J. Nicolas, "Classification by fuzzy integral: Performance and tests," Fuzzy Sets Syst., vol. 65, pp. 255-271, 1994.
    • (1994) Fuzzy Sets Syst. , vol.65 , pp. 255-271
    • Grabish, M.1    Nicolas, J.2
  • 19
    • 0027544110 scopus 로고
    • A fuzzy logic based approach to qualitative modeling
    • Feb.
    • M. Sugeno and T. Yasukawa, "A fuzzy logic based approach to qualitative modeling," IEEE Trans. Fuzzy Syst., vol. 1, pp. 7-31, Feb. 1993.
    • (1993) IEEE Trans. Fuzzy Syst. , vol.1 , pp. 7-31
    • Sugeno, M.1    Yasukawa, T.2
  • 20
    • 0029213355 scopus 로고
    • Some issues in fuzzy and linguistic modeling
    • Yokohama, Japan, Mar.
    • A. L. Ralescu and R. Hartani, "Some issues in fuzzy and linguistic modeling," in Proc. FUZZ-IEEE, Yokohama, Japan, Mar. 1995, pp. 1903-1908.
    • (1995) Proc. FUZZ-IEEE , pp. 1903-1908
    • Ralescu, A.L.1    Hartani, R.2
  • 21
    • 0029358420 scopus 로고
    • Fuzzy and neural hybrid expert systems: Synergetic AI
    • M. Funabashi and A. Maeda, "Fuzzy and neural hybrid expert systems: Synergetic AI," IEEE Expert, pp. 32-40, 1995.
    • (1995) IEEE Expert , pp. 32-40
    • Funabashi, M.1    Maeda, A.2
  • 22
    • 0027595614 scopus 로고
    • Neural networks that learn from fuzzy if-then rules
    • May
    • H. Ishibuchi, R. Fujioka, and H. Tanaka, "Neural networks that learn from fuzzy if-then rules," IEEE Trans. Fuzzy Syst., vol. 1, pp. 85-96, May 1993.
    • (1993) IEEE Trans. Fuzzy Syst. , vol.1 , pp. 85-96
    • Ishibuchi, H.1    Fujioka, R.2    Tanaka, H.3
  • 23
    • 0026366218 scopus 로고
    • Neural-network-based fuzzy logic control and decision system
    • Dec.
    • C. Lin and C. S. G. Lee, "Neural-network-based fuzzy logic control and decision system," IEEE Trans. Comput., vol. 40, pp. 1320-1336, Dec. 1991.
    • (1991) IEEE Trans. Comput. , vol.40 , pp. 1320-1336
    • Lin, C.1    Lee, C.S.G.2
  • 24
    • 85132025010 scopus 로고
    • Fuzzy function approximation
    • San Diego, CA, Mar.
    • B. Kosko, "Fuzzy function approximation," in Proc. FUZZ-IEEE, San Diego, CA, Mar. 1992, pp. 209-213.
    • (1992) Proc. FUZZ-IEEE , pp. 209-213
    • Kosko, B.1
  • 25
    • 0040970590 scopus 로고    scopus 로고
    • A case-based approach for modeling nonlinear systems
    • H. Narazaki and T. Watanabe, "A case-based approach for modeling nonlinear systems," Fuzzy Sets Syst., vol. 77, no. 1, pp. 77-86, 1996.
    • (1996) Fuzzy Sets Syst. , vol.77 , Issue.1 , pp. 77-86
    • Narazaki, H.1    Watanabe, T.2
  • 26
    • 6044236804 scopus 로고
    • Sugeno type controllers are universal controllers
    • J. J. Buckley, "Sugeno type controllers are universal controllers," Fuzzy Sets Syst., vol. 53, pp. 299-304, 1993.
    • (1993) Fuzzy Sets Syst. , vol.53 , pp. 299-304
    • Buckley, J.J.1
  • 27
    • 0030082810 scopus 로고    scopus 로고
    • Fuzzy systems with defuzzification are universal approximators
    • Feb.
    • J. L. Castro and M. Delgado, "Fuzzy systems with defuzzification are universal approximators," IEEE Trans. Syst., Man, Cybern. - Part B, vol. 26, pp. 149-152, Feb. 1996.
    • (1996) IEEE Trans. Syst., Man, Cybern. - Part B , vol.26 , pp. 149-152
    • Castro, J.L.1    Delgado, M.2
  • 28
    • 0028532753 scopus 로고
    • Fuzzy systems as universal approximators
    • Nov.
    • B. Kosko, "Fuzzy systems as universal approximators," IEEE Trans. Comput., vol. 43, pp. 1329-1333, Nov. 1994.
    • (1994) IEEE Trans. Comput. , vol.43 , pp. 1329-1333
    • Kosko, B.1
  • 29
    • 0025405010 scopus 로고
    • Fuzzy logic in control systems: Fuzzy logic controller - Parts I, II
    • Mar./Apr.
    • C. C. Lee, "Fuzzy logic in control systems: Fuzzy logic controller - Parts I, II," IEEE Trans. Syst., Man, Cybern., vol. 20, pp. 419-435, Mar./Apr. 1990.
    • (1990) IEEE Trans. Syst., Man, Cybern. , vol.20 , pp. 419-435
    • Lee, C.C.1
  • 31
    • 0029273384 scopus 로고
    • Neuro-fuzzy modeling and control
    • Mar.
    • J. S. R. Jang and C. T. Sun, "Neuro-fuzzy modeling and control," in Proc. IEEE, vol. 83, Mar. 1995, pp. 378-405.
    • (1995) Proc. IEEE , vol.83 , pp. 378-405
    • Jang, J.S.R.1    Sun, C.T.2
  • 32
    • 0027539712 scopus 로고
    • Fuzzy control of ph using genetic algorithms
    • Feb.
    • C. L. Karr and E. J. Gentry, "Fuzzy control of ph using genetic algorithms," IEEE Trans. Fuzzy Syst., vol. 1, pp. 46-53, Feb. 1993.
    • (1993) IEEE Trans. Fuzzy Syst. , vol.1 , pp. 46-53
    • Karr, C.L.1    Gentry, E.J.2
  • 34
    • 0028368827 scopus 로고
    • Fuzzy rule-based networks for control
    • Feb.
    • C. M. Higgins and R. M. Goodman, "Fuzzy rule-based networks for control,"IEEE Trans. Fuzzy Syst., vol. 2, pp. 82-88, Feb. 1994.
    • (1994) IEEE Trans. Fuzzy Syst. , vol.2 , pp. 82-88
    • Higgins, C.M.1    Goodman, R.M.2
  • 37
    • 0032141636 scopus 로고    scopus 로고
    • Generating optimal adaptive fuzzy-neural models of dynamical systems with applications to control
    • Aug.
    • S. Barada and H. Singh, "Generating optimal adaptive fuzzy-neural models of dynamical systems with applications to control," IEEE Trans. Syst., Man, Cybern. - Part C, vol. 28, pp. 371-391, Aug. 1998.
    • (1998) IEEE Trans. Syst., Man, Cybern. - Part C , vol.28 , pp. 371-391
    • Barada, S.1    Singh, H.2
  • 38
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • D. Rumelhart and J. McClelland, editors, Eds. Cambridge, MA: MIT Press
    • D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning internal representations by error propagation," in Parallel Data Processing, D. Rumelhart and J. McClelland, editors, Eds. Cambridge, MA: MIT Press, 1986, vol. 1.
    • (1986) Parallel Data Processing , vol.1
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 39
    • 0001177599 scopus 로고    scopus 로고
    • Median radial basis function neural network
    • Nov.
    • A. G. Bors and I. Pitas, "Median radial basis function neural network," IEEE Trans. Neural Networks, vol. 7, pp. 1351-1364, Nov. 1996.
    • (1996) IEEE Trans. Neural Networks , vol.7 , pp. 1351-1364
    • Bors, A.G.1    Pitas, I.2
  • 40
    • 0027202835 scopus 로고
    • Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems
    • San Francisco, CA, Mar.
    • C. T. Lin and C. S. G. Lee, "Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems," in Proc. FUZZ-IEEE, San Francisco, CA, Mar. 1993, pp. 88-93.
    • (1993) Proc. FUZZ-IEEE , pp. 88-93
    • Lin, C.T.1    Lee, C.S.G.2
  • 42
    • 0026923465 scopus 로고
    • Learning and tuning fuzzy logic controllers through reinforcements
    • Sept.
    • H. R. Berenji and P. Khedkar, "Learning and tuning fuzzy logic controllers through reinforcements," IEEE Trans. Neural Networks, vol. 3, pp. 724-739, Sept. 1992.
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 724-739
    • Berenji, H.R.1    Khedkar, P.2
  • 43
    • 0027149679 scopus 로고
    • Application of neural networks to fuzzy control
    • F. Bouslama and A. Ichikawa, "Application of neural networks to fuzzy control," Neural Networks, vol. 6, pp. 791-799, 1993.
    • (1993) Neural Networks , vol.6 , pp. 791-799
    • Bouslama, F.1    Ichikawa, A.2
  • 44
    • 0026923902 scopus 로고
    • On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
    • Sept.
    • S. Horikawa, T. Furuhashi, and Y. Uchikawa, "On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm," IEEE Trans. Neural Networks, vol. 3, pp. 801-806, Sept. 1992.
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 801-806
    • Horikawa, S.1    Furuhashi, T.2    Uchikawa, Y.3
  • 45
    • 33749900380 scopus 로고
    • Counterpropagation network-based fuzzy controllers: Explicit representation and self-construction of rule-bases
    • J. Nie and D. A. Linkens, "Counterpropagation network-based fuzzy controllers: Explicit representation and self-construction of rule-bases," Artificial Neural Networks, vol. 2, pp. 463-466, 1992.
    • (1992) Artificial Neural Networks , vol.2 , pp. 463-466
    • Nie, J.1    Linkens, D.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.