Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)

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
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2018
ISBN
978-94-6252-523-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/cmsa-18.2018.69How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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
PB  - Atlantis Press
SP  - 303
EP  - 307
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.69
DO  - https://doi.org/10.2991/cmsa-18.2018.69
ID  - Liu2018/04
ER  -