重庆理工大学学报（自然科学版）2011，Vol.25Issue(2)：96-99,111,5.
基于量子神经网络的公交客运量预测
Forecasting of Public Traffic Passenger Volume Based on Quantum Neural Network
摘要
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 process to adapt the strong randomness. The experiment result shows that this forecast model could adapt the date characteristic of passenger transport rate in public transportation well, the relative error is lower than 10％, and the forecast precision is better than BP neural network.关键词
量子神经网络/预测/公交客运量Key words
quantum neural network/ prediction/ public traffic passenger volume分类
信息技术与安全科学引用本文复制引用
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].重庆理工大学学报（自然科学版）,2011,25(2):96-99,111,5.基金项目
国家"十五"科技攻关计划资助项目(2002BA404A07) （2002BA404A07）
教育部博士点基金资助项目(20090191110022) （20090191110022）
