Intelligent Positioning Approach for High Speed Trains Based on Ant Colony Optimization and Machine Learning Algorithms-Reference-Cited by-同舟云学术

Intelligent Positioning Approach for High Speed Trains Based on Ant Colony Optimization and Machine Learning Algorithms

Published:2019-10 Issue:10 Volume:20 Page:3737-3746
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Cheng Ruijun^ORCID,Song Yongduan,Chen Dewang^ORCID,Ma Xiaoping^ORCID

Funder

National Natural Science Foundation of China

Start Project for Minjiang Chair Professor by Fujian Province

Fuzhou University

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/8855041/08527682.pdf?arnumber=8527682

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