摘要
本文介绍了应用基于遗传算法的模糊神经网络的电梯群控系统的交通流模式的识别方法。采用正规化模糊神经网络学习和训练来识别电梯群控系统交通流模式,并用遗传算法优化输入特征向量的隶属函数,实验结果表明,该方法能够准确识别交通流模式。
Traffic pattern identification method of elevator group control system based on GA fuzzy neural network is presented in this paper. Normal fuzzy neural network is applied to recognize the traffic pattern. Genetic algorithm is used to improve parameters of membership functions. Test results illustrate that this way is capable of recognizing traffic patterns.
出处
《微处理机》
2005年第5期49-52,共4页
Microprocessors
基金
江苏省高校自然科学研究科学研究项目资助(03KJB510043)
关键词
电梯群控
模式识别
遗传算法
正规化模糊神经网络
Elevator Group Control System
Pattern Recognition
Genetic Algorithms
Normal FuzzyNeural Network
