In this paper, the application of neural networks to modern elevator group supervisory control systems is discussed. The significance of introducing neural networks is presented. Artificial neural networks and fuzzy neural networks are described for turning the status of elevator running speciality, elevator equipment and building speciality into training data of elevator group supervisory control systems. Practical application shows that the elevator group supervisory control systems with neural networks can avoid the bunching phenomena effectively. Compared with the elevator group supervisory control systems with fuzzy rules, the elevator group supervisory control systems with neural networks are more superior.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Modern elevator group supervisory control systems and neural networks technique


    Contributors:
    Zhu, Dewen (author) / Jiang Li (author) / Zhou, Yuwen (author) / Shan, Guanghui (author) / He Kai (author)


    Publication date :

    1997


    Size :

    5 Seiten, 7 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Elevator group supervisory operation system and elevator group supervisory operation method

    HATORI TAKAHIRO / MAEHARA TOMOAKI / NISHIDA TAKEO et al. | European Patent Office | 2015

    Free access


    Group supervisory control device for elevator

    ETO MASAHARU | European Patent Office | 2016

    Free access

    Elevator Group Supervisory Control Systems and Intelligent Control Techniques

    Li, D. / Wang, W. / Shao, C. | British Library Online Contents | 2001


    Elevator group supervisory control systems using genetic network programming

    Eguchi, T. / Hirasawa, K. / Hu, Jinglu et al. | Tema Archive | 2004