메뉴 건너뛰기




Volumn 29, Issue 3, 2011, Pages 261-276

Function approximation with complex neuro-fuzzy system using complex fuzzy sets - A new approach

Author keywords

Complex fuzzy set; Complex neuro fuzzy system (CNFS); Function approximation; Hybrid learning; PSO RLSE

Indexed keywords

FUZZY INFERENCE; FUZZY SETS; LEARNING SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO);

EID: 80053895985     PISSN: 02883635     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00354-011-0302-1     Document Type: Article
Times cited : (36)

References (24)
  • 1
    • 0000864293 scopus 로고    scopus 로고
    • A simple but powerful heuristic method for generating fuzzy rules from numerical data
    • Nozaki, K., Ishibuchi, H. and Tanaka, H., "A simple but powerful heuristic method for generating fuzzy rules from numerical data, " Fuzzy Sets and Systems, 86, pp. 251-270, 1997.
    • (1997) Fuzzy Sets and Systems , vol.86 , pp. 251-270
    • Nozaki, K.1    Ishibuchi, H.2    Tanaka, H.3
  • 2
    • 34248523999 scopus 로고    scopus 로고
    • A novel hybrid algorithm for function approximation
    • Lee, Z.-J., "A novel hybrid algorithm for function approximation, " Expert Systems with Applications, 34, pp. 384-390, 2008.
    • (2008) Expert Systems with Applications , vol.34 , pp. 384-390
    • Lee, Z.-J.1
  • 5
    • 0035313780 scopus 로고    scopus 로고
    • Fuzzy classification based on pattern projections analysis
    • Ozols, J. and Borisov, A., "Fuzzy classification based on pattern projections analysis, " Pattern Recognition, 34, pp. 763-781, 2001.
    • (2001) Pattern Recognition , vol.34 , pp. 763-781
    • Ozols, J.1    Borisov, A.2
  • 6
    • 32544448057 scopus 로고    scopus 로고
    • A neuro-fuzzy approach for diagnosis of antibody deficiency syndrome
    • Lim, J. S., Wang, D., Kim, Y.-S. and Gupta, S., "A neuro-fuzzy approach for diagnosis of antibody deficiency syndrome, " Neurocomputing, 69, pp. 969-974, 2006.
    • (2006) Neurocomputing , vol.69 , pp. 969-974
    • Lim, J.S.1    Wang, D.2    Kim, Y.-S.3    Gupta, S.4
  • 7
    • 29444444293 scopus 로고    scopus 로고
    • Time-series prediction using a local linear wavelet neural network
    • Chen, Y., Yang, B. and Dong, J., "Time-series prediction using a local linear wavelet neural network, " Neurocomputing, 69, pp. 449-465, 2006.
    • (2006) Neurocomputing , vol.69 , pp. 449-465
    • Chen, Y.1    Yang, B.2    Dong, J.3
  • 9
    • 34250406938 scopus 로고
    • Fuzzy logic and approximate reasoning
    • Zadeh, L. A., "Fuzzy logic and approximate reasoning, " Synthese, 30, pp. 407-428, 1975.
    • (1975) Synthese , vol.30 , pp. 407-428
    • Zadeh, L.A.1
  • 10
    • 0000939069 scopus 로고    scopus 로고
    • Function approximation with decomposed fuzzy systems
    • Huwendiek, O. and Brockmann, W., "Function approximation with decomposed fuzzy systems, " Fuzzy Sets and Systems, 101, pp. 273-286, 1999.
    • (1999) Fuzzy Sets and Systems , vol.101 , pp. 273-286
    • Huwendiek, O.1    Brockmann, W.2
  • 15
    • 0032164764 scopus 로고    scopus 로고
    • A genetic-based neurofuzzy approach for modeling and control of dynamical systems
    • Farag, W. A., Quintana, V. H. and Lambert-Torres, G., "A genetic-based neurofuzzy approach for modeling and control of dynamical systems, "IEEE Transactions on Neural Networks, 9, pp. 756-767, 1998.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , pp. 756-767
    • Farag, W.A.1    Quintana, V.H.2    Lambert-Torres, G.3
  • 16
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi, T. and Sugeno, M., "Fuzzy identification of systems and its applications to modeling and control, " IEEE Transactions on Systems, Man, and Cybernetics, 15, pp. 116-132, 1985.
    • (1985) IEEE Transactions on Systems, Man, and Cybernetics , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 22
    • 61849164592 scopus 로고    scopus 로고
    • Fuzzy prediction architecture using recurrent neural networks
    • Daniel, G. and Witold, P., "Fuzzy prediction architecture using recurrent neural networks, " Neurocomputing, 72, pp. 1668-1678, 2009.
    • (2009) Neurocomputing , vol.72 , pp. 1668-1678
    • Daniel, G.1    Witold, P.2
  • 24
    • 0034295771 scopus 로고    scopus 로고
    • Interval type-2 fuzzy logic systems: Theory and design
    • Liang, Q. and Mendel, J. M., "Interval type-2 fuzzy logic systems: theory and design, "IEEE Transactions on Fuzzy Systems, 8, 5, pp. 535-550, 2000.
    • (2000) IEEE Transactions on Fuzzy Systems , vol.8 , Issue.5 , pp. 535-550
    • Liang, Q.1    Mendel, J.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.