Genetic Fuzzy System in Weapon Control Module of Unmanned Tanks
Authors
Xinzhu Liu, Di Ding, Zihuan Yu, Zhongshuai Wang, Yuhan Dai, Jing Huang
Corresponding Author
Xinzhu Liu
Available Online April 2018.
- DOI
- 10.2991/cmsa-18.2018.69How to use a DOI?
- Keywords
- unmanned tanks; genetic fuzzy system; fuzzy rule base; weapon control module
- Abstract
The genetic fuzzy system is applied to weapon control module of unmanned tanks. In this paper, the simulation system is built to train the fuzzy rule base of genetic fuzzy system in order to get the optimal fuzzy rule base with training tasks. Testing tasks are used to test the success rate of different missions under the optimal rule base. The fuzzy inference system obtained by the algorithm achieves high success rate in various tasks.
- Copyright
- © 2018, 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 - Xinzhu Liu AU - Di Ding AU - Zihuan Yu AU - Zhongshuai Wang AU - Yuhan Dai AU - Jing Huang PY - 2018/04 DA - 2018/04 TI - Genetic Fuzzy System in Weapon Control Module of Unmanned Tanks BT - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018) PB - Atlantis Press SP - 303 EP - 307 SN - 1951-6851 UR - https://doi.org/10.2991/cmsa-18.2018.69 DO - 10.2991/cmsa-18.2018.69 ID - Liu2018/04 ER -