计算机与数字工程2025，Vol.53Issue(4)：1031-1037,7.DOI:10.3969/j.issn.1672-9722.2025.04.020
基于BERT的作战仿真想定匹配方法研究
Research on Scenario Matching Method of Combat Simulation Based on BERT
摘要
Abstract
Aiming at the problem of matching between training requirements and training scenarios,a scenario matching algo-rithm called SM-BERT(Scenario Matching Based on BERT)based on BERT is proposed.SM-BERT first uses prior knowledge and unsupervised learning to extract keywords from combat scenario text.Then the field adaptation learning based on focal Loss Function is carried out for the BERT model using the battle scenario field data set.Finally,the target matching scenario is obtained according to the evaluation function of the selected scenario.The experimental results show that the accuracy of the model in scenario matching is about 87%,which shows that the model can effectively help trainees to select suitable simulation scenarios.关键词
作战仿真想定/想定匹配/BERT模型/关键词提取/语义匹配Key words
combat simulation scenario/scenario matching/BERT model/keywords extraction/semantic matching分类
信息技术与安全科学引用本文复制引用
王子沐,龚建兴,张中杰,刘权..基于BERT的作战仿真想定匹配方法研究[J].计算机与数字工程,2025,53(4):1031-1037,7.基金项目
青年科学基金项目"多采样策略下的强精度近似频繁模式挖掘"(编号:61906202)资助. （编号:61906202）
