群控电梯前向神经网络控制方法

BP neural networks based grouped elevator control

通过构造用于派梯选择的评价函数 ,在建立隶属度函数的基础上 ,利用前向神经网络自学习功能获得评价函数中各个因素的最佳加权系数 ,实现最佳派梯。仿真和实际应用结果表明了本控制方法的可行性及优良效果。

In order to realize the optimum arrangement of elevators,the evaluation function and ambiguity function for dispatching elevators are established,and the optimum weight coefficients of the different factors in the estimating function are obtained with the aid of the BP neural networks self-learning function.The results of simulation and actual application prove that the control method mentioned in this paper is feasible and effective.