TY - GEN
T1 - Intelligent aircraft maneuvering decision based on CNN
AU - Li, Bo
AU - Liang, Shiyang
AU - Tian, Linyu
AU - Chen, Daqing
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/10/1
Y1 - 2019/10/1
N2 - Aiming at the maneuvering decision of aircraft in air combat, an intelligent maneuvering decision model based on convolutional neural network(CNN) is proposed in this paper. Firstly, the situation data, maneuvering decision variables and evaluation indexs are given, and a CNN model that can realize intelligent maneuvering decision is established. Then, according to the evaluation indexes, the structure and parameters of the CNN model are adjusted through the simulation experiments to improve the accuracy and robustness of the maneuvering decision. After that, the validity of the intelligent maneuvering decision model proposed in this paper is verified through comparative experiments that the CNN model can make stable maneuvering decisions with high accuracy. Finally, the flight path in an air combat process is presented.
AB - Aiming at the maneuvering decision of aircraft in air combat, an intelligent maneuvering decision model based on convolutional neural network(CNN) is proposed in this paper. Firstly, the situation data, maneuvering decision variables and evaluation indexs are given, and a CNN model that can realize intelligent maneuvering decision is established. Then, according to the evaluation indexes, the structure and parameters of the CNN model are adjusted through the simulation experiments to improve the accuracy and robustness of the maneuvering decision. After that, the validity of the intelligent maneuvering decision model proposed in this paper is verified through comparative experiments that the CNN model can make stable maneuvering decisions with high accuracy. Finally, the flight path in an air combat process is presented.
KW - Convolutional neural network
KW - Deep learning
KW - Intelligent air combat
KW - Maneuvering decision
UR - http://www.scopus.com/inward/record.url?scp=85074848140&partnerID=8YFLogxK
U2 - 10.1145/3331453.3362046
DO - 10.1145/3331453.3362046
M3 - 会议稿件
AN - SCOPUS:85074848140
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 3rd International Conference on Computer Science and Application Engineering, CSAE 2019
PB - Association for Computing Machinery
T2 - 3rd International Conference on Computer Science and Application Engineering, CSAE 2019
Y2 - 22 October 2019 through 24 October 2019
ER -