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Volumn , Issue , 2009, Pages

Improving elevator call time responsiveness via an artificial neural network control mechanism

Author keywords

Control systems; Machine learning; Neural networks

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ELEVATOR CONTROL; ELEVATOR TRAFFIC; ENERGY SAVING; FEED-FORWARD; FUZZY PATTERN; MACHINE LEARNING; NETWORK-BASED CONTROL; TIME OF DAY; TRAFFIC FLOW; USER SATISFACTION; WAIT TIME;

EID: 70349286578     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LISAT.2009.5031561     Document Type: Conference Paper
Times cited : (3)

References (6)
  • 3
    • 0029213063 scopus 로고
    • Elevator group control system tuned by a fuzzy neural network applied method
    • N. Imasaki, S. Kubo, S. Nakai, T. Yoshitsugu, J. Kiji, and T. Endo, "Elevator group control system tuned by a fuzzy neural network applied method" Fuzzy Systems, vol.4, 1995, pp. 1735-1740.
    • (1995) Fuzzy Systems , vol.4 , pp. 1735-1740
    • Imasaki, N.1    Kubo, S.2    Nakai, S.3    Yoshitsugu, T.4    Kiji, J.5    Endo, T.6
  • 4
    • 0031197643 scopus 로고    scopus 로고
    • An elevator group control system with floor-attribute controlmethod and system optimization using genetic algorithms
    • A. Fujino, T. Tobita, K. Segawa, K. Yoneda, and A. Togawa, "An elevator group control system with floor-attribute controlmethod and system optimization using genetic algorithms," IEEE Transactions on Industrial Electronics, vol.44, 1997, pp. 546-552.
    • (1997) IEEE Transactions on Industrial Electronics , vol.44 , pp. 546-552
    • Fujino, A.1    Tobita, T.2    Segawa, K.3    Yoneda, K.4    Togawa, A.5
  • 5
    • 0342955614 scopus 로고    scopus 로고
    • Lift passenger traffic patterns: Applications, current knowledge, and measurement
    • R. Peters and P. Mehta, "Lift Passenger Traffic Patterns: Applications, Current Knowledge, and Measurement," Elevator World, vol.48, 2000, pp. 87-94.
    • (2000) Elevator World , vol.48 , pp. 87-94
    • Peters, R.1    Mehta, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.