基于模糊神经网络算法的电梯群控系统

Elevator Group Control System Based on the Algorithm of Fuzzy Neural Network

总结了电梯群控系统的特征，研究了模糊神经网络，实现了模糊推理在神经网络结构中的运用。采用BP神经网络优化了群控系统的部分控制参数。并利用仿真将基于模糊神经网络的电梯群控系统与传统电梯群控方法进行比较。

This paper summarizes the characteristics of the elevator group control system, studies on the fuzzy neural network and the fuzzy inference applied to the neural network structure. BP neural network is used to optimize some control parameters of the group control system, and the elevator group control system based on the fuzzy neural network is compared with the traditional elevator group control system taking the simulation method.