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Logistics automation control based on machine learning algorithm

Crossref DOI link: https://doi.org/10.1007/s10586-018-2169-0

Published Online: 2018-02-28

Published Print: 2019-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yu, Xiaomo

Liao, Xiaoping

Li, Wenjing

Liu, Xinquan

Tao, Zhang
Funding

Funding for this research was provided by:

National Natural Science Foundation of China ((No. 61741203)

National Natural Science Foundation of China (No. 61163012)

National Natural Science Foundation of China (No. 71462005)

Guangxi Natural Science Foundation (No. 2016GXNSFAA380243)

Guangxi innovation-driven development of special funds project (No. Gui Ke AA17204011)

Research Foundation of Guangxi Teachers Education University in 2017
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Article History

Received: 1 February 2018

Revised: 10 February 2018

Accepted: 12 February 2018

First Online: 28 February 2018