| 基于SVR的电梯交通流时间序列预测 |
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| 引用本文： | 唐海燕,于德亮,丁宝,齐维贵.基于SVR的电梯交通流时间序列预测[J].控制工程,2011,18(5):723-726,792. |
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| 作者姓名： | 唐海燕 于德亮 丁宝 齐维贵 |
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| 作者单位： | 哈尔滨工业大学电气工程及自动化学院,黑龙江哈尔滨,150001 |
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| 基金项目： | 国家十五科技支撑计划重大项目(2006BAJ03A05) |
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| 摘 要： | 为了使电梯群控系统更好地跟踪电梯交通流的变化以提高群控系统的性能,提出了基于支持向量回归(Support Vector Regression,SVR)的电梯交通流预测方法.针对电梯交通流时间序列小样本的特性,考虑了电梯交通流的横向和纵向变化趋势,采用SVR算法建立了电梯交通流时间序列的预测模型.给出了预测的评价指标,研...
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| 关 键 词： | 支持向量回归 电梯交通流 预测 RBF神经网络 |
Time Series Prediction of Elevator Traffic Flow Based on SVR |
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| TANG Hai-yan,YU De-liang,DING Bao,QI Wei-gui.Time Series Prediction of Elevator Traffic Flow Based on SVR[J].Control Engineering of China,2011,18(5):723-726,792. |
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| Authors: | TANG Hai-yan YU De-liang DING Bao QI Wei-gui |
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| Affiliation: | TANG Hai-yan,YU De-liang,DING Bao,QI Wei-gui(Department of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,China) |
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| Abstract: | In order to make elevator group control system better follow the change of elevator traffic flow and improve the system performance,the prediction method of elevator traffic flow based on support vector regression(SVR)is proposed.The time series prediction model of elevator traffic flow based on SVR is founded due to the characteristics of small sample,and the transverse change trend as well as lengthways change trend of elevator traffic flow are considered.The influences on the prediction effects by parame... |
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| Keywords: | support vector regression elevator traffic flow prediction RBF neural network |
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