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Volumn , Issue , 2007, Pages 3426-3433

HiCEFS - A hierarchical coevolutionary approach for the dynamic generation of fuzzy system

Author keywords

[No Author keywords available]

Indexed keywords

DATA DISTRIBUTION; DYNAMIC GENERATION; GENETIC POPULATIONS;

EID: 79955266091     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2007.4424915     Document Type: Conference Paper
Times cited : (4)

References (26)
  • 1
    • 0029191595 scopus 로고
    • NEFCLASS - A neuro-fuzzy approach for the classification of data
    • presented at the, Nashville
    • D. Nauck and R. Kruse, "NEFCLASS - a neuro-fuzzy approach for the classification of data," presented at the ACM Symposium on Applied Computing, Nashville, 1995.
    • (1995) ACM Symposium on Applied Computing
    • Nauck, D.1    Kruse, R.2
  • 2
    • 0001623515 scopus 로고    scopus 로고
    • Neuro-fuzzy systems for function approximation
    • D. Nauck and R. Kruse, "Neuro-fuzzy systems for function approximation," Fuzzy Sets and Systems, vol. 101, pp. 261 - 271, 1999.
    • (1999) Fuzzy Sets and Systems , vol.101 , pp. 261-271
    • Nauck, D.1    Kruse, R.2
  • 4
    • 0035501852 scopus 로고    scopus 로고
    • Fuzzy decision support system knowledge base generation using a genetic algorithm
    • L. Baron, S. Achiche, and M. Balazinski, "Fuzzy decision support system knowledge base generation using a genetic algorithm," Int. J. Approximate Reasoning, vol. 28, pp. 125-148, 2001.
    • (2001) Int. J. Approximate Reasoning , vol.28 , pp. 125-148
    • Baron, L.1    Achiche, S.2    Balazinski, M.3
  • 8
    • 0026925677 scopus 로고
    • Self-learning fuzzy controllers based on temporal backpropagation
    • J. S. R. Jang, "Self-learning fuzzy controllers based on temporal backpropagation," IEEE Trans. Neural Netw., vol. 3, pp. 714-723, 1992.
    • (1992) IEEE Trans. Neural Netw. , vol.3 , pp. 714-723
    • Jang, J.S.R.1
  • 10
    • 0344395607 scopus 로고    scopus 로고
    • POPFNN-CRI(S):Pseudo outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier
    • K. K. Ang, C. Quek, andM. Pasquier, "POPFNN-CRI(S):Pseudo outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier," IEEE Trans. Sys., Man Cybern. B, Cybern., vol. 33, pp. 838-849, 2003.
    • (2003) IEEE Trans. Sys., Man Cybern. B, Cybern. , vol.33 , pp. 838-849
    • Ang, K.K.1    Quek, C.2    Pasquier, M.3
  • 11
    • 0036737109 scopus 로고    scopus 로고
    • GenSoFNN:Ageneric self-organizing fuzzy neural network
    • W. L. Tung andC. Quek, "GenSoFNN:Ageneric self-organizing fuzzy neural network," IEEE Trans. Neural Netw., vol. 13, pp. 1075-1086, 2002.
    • (2002) IEEE Trans. Neural Netw. , vol.13 , pp. 1075-1086
    • Tung, W.L.1    Quek, C.2
  • 13
    • 0002191257 scopus 로고
    • Designofan adaptive fuzzy logic controller using agenetic algorithm
    • C. L. Karr, "Designofan adaptive fuzzy logic controller using agenetic algorithm," in Proc. 4th Int. Conf. on Genetic Algorithms,pp 450-457, 1991.
    • (1991) Proc. 4th Int. Conf. on Genetic Algorithms , pp. 450-457
    • Karr, C.L.1
  • 14
    • 0032207749 scopus 로고    scopus 로고
    • Integrating fuzzy knowledge by genetic algorithms
    • C. H. Wang, T. P. Hong, andS. S. Tseng, "Integrating fuzzy knowledge by genetic algorithms," IEEE Trans. Evol. Comput., vol. 2, pp. 138 - 149, 1998.
    • (1998) IEEE Trans. Evol. Comput. , vol.2 , pp. 138-149
    • Wang, C.H.1    Hong, T.P.2    Tseng, S.S.3
  • 15
    • 0035415950 scopus 로고    scopus 로고
    • Compact and transparent fuzzy models and classifiers through iterative complexity reduction
    • H. Roubos and M. Setnes, "Compact and transparent fuzzy models and classifiers through iterative complexity reduction," IEEE Trans. Fuzzy Syst., vol. 9, 2001.
    • (2001) IEEE Trans. Fuzzy Syst. , vol.9
    • Roubos, H.1    Setnes, M.2
  • 16
    • 0034153728 scopus 로고    scopus 로고
    • Cooperative coevolution: An architecture for evolving coadapted subcomponents
    • M. A. Potter and K. A. De Jong, "Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents," Evolutionary Computation, vol. 8, pp. 1-29, 2000.
    • (2000) Evolutionary Computation , vol.8 , pp. 1-29
    • Potter, M.A.1    De Jong, K.A.2
  • 17
    • 0346151192 scopus 로고    scopus 로고
    • Coevolutionary genetic fuzzy systems: A hierarchical collaborative approach
    • M. R. Delgado, F. Von Zuben, and F. Gomide, "Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach," Fuzzy Sets and Systems, vol. 141, pp. 89-106, 2004.
    • (2004) Fuzzy Sets and Systems , vol.141 , pp. 89-106
    • Delgado, M.R.1    Von Zuben, F.2    Gomide, F.3
  • 18
    • 0035483857 scopus 로고    scopus 로고
    • Fuzzy CoCo: A cooperative-coevolutionary approach to fuzzy modeling
    • C. A. Pena-Reyes and M. Sipper, "Fuzzy CoCo: a cooperative- coevolutionary approach to fuzzy modeling," IEEE Trans. Fuzzy Syst., vol. 9, pp. 727-737, 2001.
    • (2001) IEEE Trans. Fuzzy Syst. , vol.9 , pp. 727-737
    • Pena-Reyes, C.A.1    Sipper, M.2
  • 20
    • 0029311891 scopus 로고
    • Coevolutionary computation
    • J. Paredis, "Coevolutionary computation," Artificial Zife,vol.2,pp. 355-375, 1995.
    • (1995) Artificial Zife , vol.2 , pp. 355-375
    • Paredis, J.1
  • 22
    • 0033704546 scopus 로고    scopus 로고
    • Fuzzy modeling of high-dimensional systems: Complexity reduction and interpretability improvement
    • Y. Jin, "Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement," IEEE Trans. Fuzzy Syst., vol. 8, pp. 212-221, 2000.
    • (2000) IEEE Trans. Fuzzy Syst. , vol.8 , pp. 212-221
    • Jin, Y.1
  • 23
    • 0032713743 scopus 로고    scopus 로고
    • Semantic constraints for membership function optimization
    • J. V. de Oliveira, "Semantic constraints for membership function optimization," IEEE Trans. Sys., Man Cybern. A, Syst. Humans,vol. 29, pp. 128-138, 1999.
    • (1999) IEEE Trans. Sys., Man Cybern. A, Syst. Humans , vol.29 , pp. 128-138
    • De Oliveira, J.V.1
  • 24
    • 33746610646 scopus 로고    scopus 로고
    • POP-TRAFFIC:anovel fuzzy neural approach to road traffic analysis and prediction
    • C. Quek, M. Pasquier, andB. B. S. Lim, "POP-TRAFFIC:anovel fuzzy neural approach to road traffic analysis and prediction," IEEE Trans. Intell. Transp. Syst., vol. 7, pp. 133-146, 2006.
    • (2006) IEEE Trans. Intell. Transp. Syst. , vol.7 , pp. 133-146
    • Quek, C.1    Pasquier, M.2    Lim, B.B.S.3
  • 26
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press
    • D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning internal representations by error propagation," in Parallel Distributed Processing, vol. 1, D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press, 1986.
    • (1986) Parallel Distributed Processing , vol.1
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.