基于深度学习的体系作战效能智能评估及优化

doi:10.16182/j.issn1004731x.joss.20-0353

系统仿真学报 ›› 2020, Vol. 32 ›› Issue (8): 1425-1435.doi: 10.16182/j.issn1004731x.joss.20-0353

• 专栏：仿真可信度评估 • 上一篇下一篇

基于深度学习的体系作战效能智能评估及优化

李妮¹, 李玉红¹, 龚光红¹, 黄晓冬²

1.自动化科学与电气工程学院北京航空航天大学,北京 100191;
2.海军航空大学,山东烟台 264001

收稿日期:2020-06-15 修回日期:2020-07-27 出版日期:2020-08-18 发布日期:2020-08-13
作者简介:李妮(1980-), 女, 湖南衡阳, 博士, 教授,研究方向为系统仿真与混合现实;李玉红(1988-), 女,河南商丘, 博士,研究方向为复杂系统的建模、仿真、优化及评估;龚光红(1968-),女,土家族,四川石柱,博士,教授,研究方向为系统仿真与虚拟现实。
基金资助:
国家自然科学基金(61773032)

Intelligent Effectiveness Evaluation and Optimization on Weapon System of Systems Based on Deep Learning

Li Ni¹, Li Yuhong¹, Gong Guanghong¹, Huang Xiaodong²

1. School of Automation Science, Beihang University (BUAA), Beijing 100191, China;
2. Naval Aviation University, Yantai 264001, China

Received:2020-06-15 Revised:2020-07-27 Online:2020-08-18 Published:2020-08-13

摘要/Abstract

摘要： 采用仿真模拟评估方法进行体系作战效能评估包括配置想定、多次运行仿真系统和调用效能评估模型计算多个复杂步骤。针对此流程复杂、耗时长的问题,提出一种基于深度学习回归思想的体系作战效能智能评估方法,引入基于进化策略的作战效能优化流程。以全连接深度回归网络为预测模型,通过多个数据集的试验结果给出网络隐层数和样本量选择的指导原则。进一步结合遗传算法调整网络输入得到优化输出,迭代性能较好。以某仿真系统为例初步验证了其有效性和使用价值。

关键词: 武器装备体系, 作战效能智能评估, 作战效能智能优化, 回归预测, 深度回归网络

Abstract: In the process of conventional WSoS (Weapon System of Systems) operational effectiveness evaluation, multiple complex steps including reconfiguring the scenario, rerunning the WSoS simulation system, and conducting effectiveness evaluation model calculations are taken. For the problems of conventional effectiveness evaluation method, such as the complex process and time-consuming, the intelligent evaluation method of WSoS combat effectiveness based on machine learning regression is proposed, and the optimization process of combat effectiveness based on evolutionary strategy is introduced. Taking the full connection depth regression network as the prediction model, the guiding selection principles of network hidden layer number and sample size are given on the basis of the test results of multiple data sets. The optimal output is obtained by the genetic algorithm to adjust the network input, and the high iterative performance is got. Case study of a simulation system preliminarily verifies the effectiveness and value of the prediction model and the optimization method.

Key words: weapon system of systems, intelligent evaluation of operational effectiveness, intelligent optimization of operational effectiveness, regression prediction, deep regression network

中图分类号:

TP391.9

李妮, 李玉红, 龚光红, 黄晓冬. 基于深度学习的体系作战效能智能评估及优化[J]. 系统仿真学报, 2020, 32(8): 1425-1435.

Li Ni, Li Yuhong, Gong Guanghong, Huang Xiaodong. Intelligent Effectiveness Evaluation and Optimization on Weapon System of Systems Based on Deep Learning[J]. Journal of System Simulation, 2020, 32(8): 1425-1435.

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基于深度学习的体系作战效能智能评估及优化

Intelligent Effectiveness Evaluation and Optimization on Weapon System of Systems Based on Deep Learning

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