Modern elevator group supervisory control systems and neural networks technique

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.