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电梯群控系统交通流的预测方法
引用本文:宗群,岳有军.电梯群控系统交通流的预测方法[J].系统工程与电子技术,2001,23(7):103-105.
作者姓名:宗群  岳有军
作者单位:天津大学电气自动化与能源工程学院
基金项目:天津市自然科学基金资助课题(993801211)
摘    要:交通流预测是智能电梯群控系统的重要组成部分,对交通流进行预测可使群控系统跟随交通流的变化调节控制策略.将基于神经网络的时间序列预测理论应用到电梯群控系统的交通分析中,构造了一种交通流时间序列预测模型,并提出了调整预测神经网络结构以提高预测精度的方法.仿真实验表明了这种交通流智能预测方法是有效的.

关 键 词:电梯  时序分析  预测
文章编号:1001-506(2001)07-0103-03
修稿时间:2000年6月10日

A Traffic Flow Forecasting Method of Elevator Group Control System
Zong Qun Yue Youjun School of Electric Automation and Power Engineering,Tianjin University, Tianjin Institute of Technology.A Traffic Flow Forecasting Method of Elevator Group Control System[J].System Engineering and Electronics,2001,23(7):103-105.
Authors:Zong Qun Yue Youjun School of Electric Automation and Power Engineering  Tianjin University  Tianjin Institute of Technology
Institution:Zong Qun Yue Youjun School of Electric Automation and Power Engineering,Tianjin University,300072 Tianjin Institute of Technology,300191
Abstract:Traffic flow forecasting is an important part of Elevator Group Control System (EGCS), by forecasting traffic volume, EGCS can follow the change of traffic flow and apply suitable control strategy are the way to realize the optimization of elevator assignment. This paper applies Neural Network based time serials prediction theories to EGCS's traffic analysis, and constructs a time series neural networks model, and give the method of adjusting structure of NN and improving the precision of forecasting. Simulation results show its validity.
Keywords:Elevator  Time series analysis  Prediction
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