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Volumn , Issue , 2004, Pages 1351-1355

A type-2 fuzzy neural model based control of a nonlinear system

Author keywords

Control; Neuro Fuzzy systems; Nonlinear Systems and Type 2 fuzzy sets

Indexed keywords

FUZZIFICATION; FUZZY LOGIC CONTROLLER (FLC); NEURO-FUZZY SYSTEMS; TYPE-2 FUZZY SETS;

EID: 11244285135     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (12)
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  • 3
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    • MF.Azeem, M.Hanmandlu and N. Ahmad, " Generalization of Adaptive Neuro-Fuzzy Inference Systems", IEEE Trans. on Neural Networks, Vol. 11, Issue.6, pp. 1332-1346, November 2000.
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  • 4
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    • Identification and control of dynamic system using neural network
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    • Kumpati S. Narendra and Kannan Parathasarathy, "Identification and control of dynamic system using neural network", IEEE Trans. on Neural Network, Vol. 1, no.1, pp.4-27, March 1990.
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  • 5
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    • A new approach to Fuzzy Neural system modeling
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  • 7
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    • Interval type-2 fuzzy logic systems: Theory and design
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    • (2000) IEEE Trans. on Fuzzy System , vol.8 , Issue.5 , pp. 535-550
    • Liang, Q.1    Mendel, J.M.2
  • 8
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    • Application of type-2 fuzzy logic systems: Handling the uncertainty associated with surveys
    • August 22-25, Seoul, Korea
    • Nilesh N. Karnik and Jerry M. Mendel, "Application of Type-2 Fuzzy Logic Systems: Handling the Uncertainty Associated with Surveys", IEEE International Systems Conference Proc., August 22-25, 1999, Seoul, Korea.
    • (1999) IEEE International Systems Conference Proc.
    • Karnik, N.N.1    Mendel, J.M.2
  • 9
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  • 10
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  • 11
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    • Computing derivatives in interval type-2 fuzzy logic system
    • Feb
    • Jerry M. Mendel, " Computing Derivatives in Interval Type-2 Fuzzy logic System" IEEE Trans. on Fuzzy Systems, Vol. 12, No.-1, Feb 2004, pp. 84-98.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.