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Volumn 3971 LNCS, Issue , 2006, Pages 774-779

Design of fuzzy polynomial neural networks with the aid of genetic fuzzy granulation and its application to multi-variable process system

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; COMPUTER ARCHITECTURE; DATABASE SYSTEMS; FUZZY SETS; MEDICAL IMAGING; OPTIMIZATION; POLYNOMIALS;

EID: 33745886489     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11759966_113     Document Type: Conference Paper
Times cited : (5)

References (14)
  • 5
    • 0346781553 scopus 로고    scopus 로고
    • Ten years of genetic fuzzy systems: Current framework and new trends
    • Cordon, O., et al.: Ten Years of Genetic Fuzzy Systems: Current Framework and New Trends. Fuzzy Sets and Systems 141(1) (2004) 5-31
    • (2004) Fuzzy Sets and Systems , vol.141 , Issue.1 , pp. 5-31
    • Cordon, O.1
  • 6
    • 0742320761 scopus 로고    scopus 로고
    • Self-organizing polynomial neural networks based on PNs or FPNs: Analysis and design
    • Oh, S.K., Pedrycz, W.: Self-organizing Polynomial Neural Networks Based on PNs or FPNs: Analysis and Design. Fuzzy Sets and Systems 142 (2004) 163-198
    • (2004) Fuzzy Sets and Systems , vol.142 , pp. 163-198
    • Oh, S.K.1    Pedrycz, W.2
  • 9
    • 27744519316 scopus 로고    scopus 로고
    • Fuzzy polynomial neuron-based self-organizing neural networks
    • Oh, S.K., Pedrycz, W.: Fuzzy Polynomial Neuron-Based Self-Organizing Neural Networks. Int. J. of General Systems 32(3) (2003) 237-250
    • (2003) Int. J. of General Systems , vol.32 , Issue.3 , pp. 237-250
    • Oh, S.K.1    Pedrycz, W.2
  • 10
    • 0026943536 scopus 로고
    • Generating fuzzy rules from numerical data with applications
    • Wang, L.X., Mendel, J.M.: Generating Fuzzy Rules from Numerical Data with Applications. IEEE Trans. Systems, Man, Cybem. 22(6) (1992) 1414-1427
    • (1992) IEEE Trans. Systems, Man, Cybem. , vol.22 , Issue.6 , pp. 1414-1427
    • Wang, L.X.1    Mendel, J.M.2
  • 11
    • 84941153531 scopus 로고    scopus 로고
    • Relation-based neurofuzzy networks with evolutionary data granulation
    • Oh, S.K., Pedrycz, W., Park, B.J.: Relation-based Neurofuzzy Networks with Evolutionary Data Granulation. Mathematical and Computer Modeling (2003) 202-212
    • (2003) Mathematical and Computer Modeling , pp. 202-212
    • Oh, S.K.1    Pedrycz, W.2    Park, B.J.3
  • 12
    • 27744519316 scopus 로고    scopus 로고
    • Fuzzy polynomial neuron-based self-organizing neural networks
    • Oh, S.K., Pedrycz, W.: Fuzzy Polynomial Neuron-Based Self-Organizing Neural Networks. Int. J. of General Systems 32(3) (2003) 237-250
    • (2003) Int. J. of General Systems , vol.32 , Issue.3 , pp. 237-250
    • Oh, S.K.1    Pedrycz, W.2
  • 13
    • 4544361988 scopus 로고    scopus 로고
    • Rule-based fuzzy polynomial neural networks in modeling software process data
    • Park, B.J., Lee, D.Y., Oh, S.K.: Rule-based Fuzzy Polynomial Neural Networks in Modeling Software Process Data. Int. J. of Control, Automations, and Systems 1(3) (2003) 321-331
    • (2003) Int. J. of Control, Automations, and Systems , vol.1 , Issue.3 , pp. 321-331
    • Park, B.J.1    Lee, D.Y.2    Oh, S.K.3
  • 14
    • 0000389470 scopus 로고
    • A new effective learning algorithm for a neo fuzzy neuron model
    • Yamakawa, T.: A New Effective Learning Algorithm for a Neo Fuzzy Neuron Model. 5th IFSA World Conference. (1993) 1017-1020
    • (1993) 5th IFSA World Conference , pp. 1017-1020
    • Yamakawa, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.