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Volumn , Issue , 2007, Pages 118-123

Adaptive fuzzy model of operator functional state in human-machine system: A preliminary study

Author keywords

Fuzzy system; Genetic algorithm; OFS

Indexed keywords

ADAPTIVE ALGORITHMS; ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; BIOMEDICAL ENGINEERING; CONTROL THEORY; DIESEL ENGINES; FUZZY INFERENCE; FUZZY SYSTEMS; GENETIC ALGORITHMS; GENETIC ENGINEERING; INFERENCE ENGINES; REAL TIME SYSTEMS;

EID: 56149127746     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (11)
  • 2
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    • Jasper, H.H.1
  • 3
    • 0030969897 scopus 로고    scopus 로고
    • High-resolution EEG mapping of cortical activation related to working memory: Effects of task difficulty, type of processing, and practice
    • Gevins A., Smith M.E., McEvoy L. and Yu D., High-resolution EEG mapping of cortical activation related to working memory: Effects of task difficulty, type of processing, and practice, Cerebral Cortex, 7, 374-385, 1997.
    • (1997) Cerebral Cortex , vol.7 , pp. 374-385
    • Gevins, A.1    Smith, M.E.2    McEvoy, L.3    Yu, D.4
  • 5
    • 51549106846 scopus 로고    scopus 로고
    • Markers of high risk operator functional state in adaptive control of process automation
    • Nickel, P., Hockey G.R.J., Roberts A.C. and Roberts M.H., Markers of high risk operator functional state in adaptive control of process automation, in Proc. of IEA 2006, 2006.
    • (2006) Proc. of IEA 2006
    • Nickel, P.1    Hockey, G.R.J.2    Roberts, A.C.3    Roberts, M.H.4
  • 7
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modelling and control
    • Tagaki, T. and Sugeno, M., Fuzzy identification of systems and its application to modelling and control, IEEE Trans. on Systems, Man and Cybernetics, 15, 116-132, 1985.
    • (1985) IEEE Trans. on Systems, Man and Cybernetics , vol.15 , pp. 116-132
    • Tagaki, T.1    Sugeno, M.2
  • 8
    • 0027601884 scopus 로고
    • Adaptive-network-based fuzzy inference system
    • ANFIS
    • Jang, J., ANFIS: Adaptive-network-based fuzzy inference system, IEEE Trans. on Systems, Man and Cybernetics, 23, 665-685, 1993.
    • (1993) IEEE Trans. on Systems, Man and Cybernetics , vol.23 , pp. 665-685
    • Jang, J.1
  • 10
    • 0029306172 scopus 로고
    • Genetic algorithms for fuzzy control: Offline system development and application (Part 1)
    • Linkens D.A. and Nyongesa H.O., Genetic algorithms for fuzzy control: Offline system development and application (Part 1), IEE Proc.-Control Theory Appl., 142 (3), 161-176, 1995..
    • (1995) IEE Proc.-Control Theory Appl , vol.142 , Issue.3 , pp. 161-176
    • Linkens, D.A.1    Nyongesa, H.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.