国防科技大学学报2025，Vol.47Issue(3)：81-89,9.DOI:10.11887/j.cn.202503009
数据驱动下的反导装备体系效能评估建模与仿真
Data-driven effectiveness evaluation modeling and simulation of anti-missile equipment system
摘要
Abstract
Aiming at the problems that traditional effectiveness evaluation methods can not reflect the evolution,emergence and adaptability of the anti-missile equipment system,a data-driven effectiveness evaluation method of anti-missile equipment system was proposed.Based on the analysis of the characteristics of anti-missile equipment system and the shortage of traditional effectiveness evaluation method.the Bayes optimization algorithm was used to optimize the convolutional neural network hyperparameters,and the efficiency evaluation model of Bayes-CNN(Bayes convolutional neural network)was constructed.The flow and steps of Bayes-CNN system effectiveness evaluation algorithm were studied,and a set of completed efficiency evaluation algorithm was formed.Designed and validated the simulation experiment,input a lot of test data to Bayes-CNN model for training and learning,so as to obtain the simulation prediction of the effectiveness of anti-missile equipment system.The experimental results show that the error between the actual and expected output is very small,and the non-linear fitting effect is great so that it had a high degree of feasibility and reliability.关键词
数据驱动/反导装备体系/效能评估/贝叶斯/卷积神经网络Key words
data-driven/anti-missile equipment system/effectiveness evaluation/Bayes/CNN分类
军事科技引用本文复制引用
赵海燕,周峰,杨文静,赵静,王小双..数据驱动下的反导装备体系效能评估建模与仿真[J].国防科技大学学报,2025,47(3):81-89,9.基金项目
国家自然科学基金资助项目(62001059) （62001059）
陕西省自然科学基础研究计划面上资助项目(2023JCYB509) （2023JCYB509）
