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/).
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 -