Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Unmanned Boat Navigation Planning Based on Machine Learning Algorithm

Authors
Xiulai Li, Mingrui Chen, Lijie Yin
Corresponding Author
Xiulai Li
Available Online April 2017.
DOI
10.2991/emim-17.2017.45How to use a DOI?
Keywords
Unmanned boat; Q-learning; Unmanned technology; Algorithm
Abstract

This paper mainly introduces unmanned ship technology and the frontier technology of artificial intelligence, especially the Q-learning algorithm in machine learning. It mainly describes how the machine learning algorithm in artificial intelligence technology be applied in unmanned ship technology, so as to improve the efficiency and accuracy of unmanned ship.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
978-94-6252-356-2
ISSN
2352-538X
DOI
10.2991/emim-17.2017.45How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiulai Li
AU  - Mingrui Chen
AU  - Lijie Yin
PY  - 2017/04
DA  - 2017/04
TI  - Unmanned Boat Navigation Planning Based on Machine Learning Algorithm
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 207
EP  - 212
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.45
DO  - 10.2991/emim-17.2017.45
ID  - Li2017/04
ER  -