粒子群优化BP神经网络在电梯群控系统中的应用

为了达到最优电梯群派梯指标,提出了一种基于粒子群优化的BP神经网络电梯群控方法,将带变异因子的改进粒子群优化技术应用到BP神经网络中,获得电梯评价指标中的满意度,以改进粒子群优化BP神经网络的初始权值和阀值。仿真结果表明,改进粒子群优化的BP神经网络算法减少了迭代次数,缩短了运行时间,证明了新方法的有效性。

Application of BP Neural Network Based on PSO in Elevator Group Control System

In order to achieve the best index of the elevator group control, a kind of BP neural network based on PSO group control scheme was put forward. The improved PSO with variation factors was used in BP neural network to achieve the satisfaction degree in evaluation index of elevator and improve the initial weights and threshold value of BP neural network based on PSO. The results of computer simulation showed that the BP neural network based on the improved PSO algorithm could reduce numbers of iteration, sho...