现代信息科技2025，Vol.9Issue(4)：53-57,63,6.DOI:10.19850/j.cnki.2096-4706.2025.04.011
基于LDA-TabTransformer的海上目标威胁评估
Maritime Target Threat Assessment Based on LDA-TabTransformer
摘要
Abstract
In modern maritime battlefields,the complex and changeable environment poses numerous challenges to the accuracy of target threat assessment.To address the effective evaluation of maritime targets and the analysis of complex assessment factors,a method for maritime target threat assessment based on Deep Learning is proposed.According to the two perspectives of environmental factors and target attributes in complex maritime battlefields,an index system for maritime target threat assessment is constructed.The data types are categorized into categorical and numerical features for the analysis of maritime target threat assessment.Based on the introduced TabTransformer model,Linear Discriminant Analysis is incorporated to optimize the model,and a target threat assessment model is established.Through training and testing with simulated data,the accuracy of the model is approximately 91%.The model has strong robustness,provides a new solution for maritime target threat assessment,and has broad application prospects.关键词
威胁评估/线性判别分析/深度学习/多头自注意力机制Key words
threat assessment/Linear Discriminant Analysis/Deep Learning/Multi-head Self-attention Mechanism分类
计算机与自动化引用本文复制引用
吴正威..基于LDA-TabTransformer的海上目标威胁评估[J].现代信息科技,2025,9(4):53-57,63,6.
