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Volumn 243, Issue , 2009, Pages 681-702

Observer-Based iterative fuzzy and neural network model inversion for measurement and control applications

Author keywords

Anytime techniques; Fuzzy modeling; Genetic algorithms; Inverse control; Inverse modeling; Iterative methods; Neural network models; Observers; Singular value decomposition

Indexed keywords


EID: 77958162251     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-03737-5_49     Document Type: Article
Times cited : (9)

References (26)
  • 5
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    • (1980) IEE Proc. , vol.127 , Issue.6 PART. D , pp. 272-284
    • Billings, S.A.1
  • 18
    • 0032064935 scopus 로고    scopus 로고
    • Elite: Genetic algorithms with adaptive mutations for solving continuous optimization problems - Application to modeling of the optical constants of solids
    • Djurisic, A.B., Elite: Genetic Algorithms with Adaptive Mutations for Solving Continuous Optimization Problems - Application to Modeling of the Optical Constants of Solids. Optics Communications 151, 147-159 (1998)
    • (1998) Optics Communications , vol.151 , pp. 147-159
    • Djurisic, A.B.1
  • 20
    • 0030230721 scopus 로고    scopus 로고
    • Using anytime algorithms in intelligent systems
    • Zilberstein, S.: Using Anytime Algorithms in Intelligent Systems. AI Magazine 17(3), 73-83 (1996)
    • (1996) AI Magazine , vol.17 , Issue.3 , pp. 73-83
    • Zilberstein, S.1
  • 21
    • 0031339155 scopus 로고    scopus 로고
    • Fuzzy approximation via grid point sampling and singular value decomposition
    • Yam, Y.: Fuzzy Approximation via Grid Point Sampling and Singular Value Decomposition. IEEE Trans. on System, Man, Cybernetics 27, 933-951 (1997)
    • (1997) IEEE Trans. on System, Man, Cybernetics , vol.27 , pp. 933-951
    • Yam, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.