Research on Intelligent Prediction Method of Wargaming Air Mission

Authors

Dayong Zhang, 1.Graduate School, NDU of PLA, Beijing 100091, China;Follow
Jingyu Yang, 2.College of Joint Operation, NDU of PLA, Beijing 100091, China;
Xi Wu, 2.College of Joint Operation, NDU of PLA, Beijing 100091, China;Follow

Abstract

Abstract: The efficient, accurate and automatic judgment of the combat mission or intention of the enemy's air targets in the battlefield is the basis of situation awareness and the key to the allocation of auxiliary combat resources. Combined with the calculation characteristics of feed forward deep neural network and long-term and short-term memory network model, two targeted basic index learners are designed, and then the weighted combination is carried out according to the cross entropy of the basic index, which can be used to further train the evaluation index of the learner. It can not only effectively prevent the model from over fitting, but also improve the efficiency of model training. The test results show that the proposed model can prevent the over fitting of the model and judge the combat mission or intention of the enemy target with high accuracy.

Recommended Citation

Zhang, Dayong; Yang, Jingyu; and Wu, Xi (2023) "Research on Intelligent Prediction Method of Wargaming Air Mission," Journal of System Simulation: Vol. 35: Iss. 1, Article 18.
DOI: 10.16182/j.issn1004731x.joss.21-0717
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss1/18

First Page

212

Revised Date

2021-09-23

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0717

Last Page

220

CLC

TP391.9

Recommended Citation

Dayong Zhang, Jingyu Yang, Xi Wu. Research on Intelligent Prediction Method of Wargaming Air Mission[J]. Journal of System Simulation, 2023, 35(1): 212-220.

Corresponding Author

Xi Wu,smilexixi@126.com

DOI

10.16182/j.issn1004731x.joss.21-0717