Modern elevator group supervisory control systems and neural networks technique

被引:0
作者
Zhu, DW [1 ]
Jiang, L [1 ]
Zhou, YW [1 ]
Shan, GH [1 ]
He, K [1 ]
机构
[1] Shenyang Inst Architecture & Civil Engn, Dept Automat Control, Shenyang 110015, Peoples R China
来源
1997 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT PROCESSING SYSTEMS, VOLS 1 & 2 | 1997年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper,the application of neural networks technique in modern elevator group supervisory control systems is discussed. The significance of introducing neural networks technique is presented. From the angle of turning the status of elevator running specialty, elevator equipment and building specialty into training data of elevator group supervisory control systems with neural networks,artificial neural networks and fuzzy neural networks are described. Practical application shows that the elevator group supervisory control systems with neural networks can avoid bunching phenomena effectively. Compared with the elevator group supervisory control systems with fuzzy rules,the elevator group supervisory control systems with neural networks have more superiority.
引用
收藏
页码:528 / 532
页数:5
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