| 基于量子神经网络的公交客运量预测 |
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| 引用本文： | 孙棣华,付青松,李永福.基于量子神经网络的公交客运量预测[J].重庆工学院学报,2011(2). |
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| 作者姓名： | 孙棣华 付青松 李永福 |
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| 作者单位： | 重庆大学自动化学院; |
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| 基金项目： | 国家“十五”科技攻关计划资助项目(2002BA404A07); 教育部博士点基金资助项目(20090191110022) |
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| 摘 要： | 为了对公交线路客运量进行有效预测,以便制定线路运营计划、合理规划运营线路和优化公交运营调度,通过分析公交客运量数据特性,提出一种基于量子神经网络的公交客运量预测模型,并在训练过程中动态调整量子间隔,以响应公交客流数据的强随机性。实验结果表明,该预测模型能够较好地适应公交客运数据的特性,相对误差低于10%,且预测精度较BP神经网络有显著提高。
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| 关 键 词： | 量子神经网络 预测 公交客运量 |
Forecasting of Public Traffic Passenger Volume Based on Quantum Neural Network |
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| SUN Di-hua,FU Qing-song,LI Yong-fu.Forecasting of Public Traffic Passenger Volume Based on Quantum Neural Network[J].Journal of Chongqing Institute of Technology,2011(2). |
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| Authors: | SUN Di-hua FU Qing-song LI Yong-fu |
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| Affiliation: | SUN Di-hua,FU Qing-song,LI Yong-fu(College of Automation,Chongqing University,Chongqing 400044,China) |
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| Abstract: | Effective forecasting of the rate of passenger transport in public transportation line is the foundation of making the transport plan of lines,planning operation lines reasonably and optimizing the dispatch of public transportation.After analyzing the data characteristic of passenger transport rate in public transportation,a kind of forecast model for passenger transport rate in public transportation based on quantum neural network was proposed,and quantum interval was adjusted dynamically in the training p... |
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| Keywords: | quantum neural network prediction public traffic passenger volume |
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