A deep learning approach on short-term spatiotemporal distribution forecasting of dockless bike-sharing system-Reference-Cited by-同舟云学术

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A deep learning approach on short-term spatiotemporal distribution forecasting of dockless bike-sharing system

Published:2018-04-07 Issue:5 Volume:31 Page:1665-1677
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Ai Yi,Li Zongping,Gan Mi,Zhang Yunpeng,Yu Daben,Chen Wei,Ju Yanni

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-018-3470-9.pdf

Reference29 articles.

1. http://www.cityweekend.com.cn/shanghai/article/mobike-vs-mobike-lite-vs-ofo

2. http://daxueconsulting.com/mobike-and-ofo-bike-sharing/

3. Pidd H, Lavelle D (2017) Chinese bike-share scheme launches in rainy Manchester. The Guardian. Retrieved 6 July 2017

4. Mobike bicycle-hire scheme to be launched in Greater Manchester. BBC. 13 June 2017. Retrieved 6 July 2017

5. Cox, C (2017) Everything you need to know about the new Mobike service coming to Manchester and Salford. Manchester Evening News

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