计算机工程与应用2017，Vol.53Issue(16)：221-224,236,5.DOI:10.3778/j.issn.1002-8331.1603-0097
基于Elman神经网络的公共自行车单站点需求预测
Demand prediction of public bicycle rental station based on Elman neural network.
摘要
Abstract
The main problem of the public bicycle rental system is the difficulty of the user access to the bicycle and the rental station needs staff on duty at the peak hours. In order to avoid scheduling process determined by dispatcher empiri-cally blindly, improve the scheduling scientifically, shorten the operation time and reduce the cost, so as to better meet the rental demand of the users, a method is proposed to predict the demand of single public bicycle rental station based on improved Elman Neural Network. The effectiveness of the proposed method is proved by comparing the predicted results with the actual demand.关键词
城市交通/公共自行车租赁系统/单站点需求量预测/Elman神经网络Key words
urban transport/public bicycle system/demand predict of single station/Elman neural network分类
信息技术与安全科学引用本文复制引用
解小平,邱建东,汤旻安..基于Elman神经网络的公共自行车单站点需求预测[J].计算机工程与应用,2017,53(16):221-224,236,5.基金项目
甘肃省自然科学研究基金计划(No.1208RJZA292) （No.1208RJZA292）
兰州市科技计划资助基金(No.2013-4-18). （No.2013-4-18）
