指挥控制与仿真2016，Vol.38Issue(6)：36-41,6.DOI:10.3969/j.issn.1673-3819.2016.06.008
基于时序特征编码的目标战术意图识别算法∗
Tactical Intention Recognition Algorithm Based on Encoded Temporal Features
摘要
Abstract
Automatic and fast intention recognition is the premise and bedrock of intelligent decision⁃making, and it refers to the process of deducing the intention of a target from a set of observed actions with dynamic and temporal characteristics. Here, an automatic tactical intention recognition model based on deep learning methods of stacked auto⁃encoder ( SAE) is proposed. The temporal features and attributes of corresponding target and battlefield environment are encoded as the input signal, and then the recognition experience of domain expert are encapsulated and labeled as knowledge to train the intelli⁃gent model so as to simulate the deducing and cognition mode of human. Finally, the influence of pre⁃training and the depth of the SAE network on the performance are analyzed, and the validation of SAE model was illustrated by comparison of recog⁃nition accuracy ratios with that obtained by the models based on multi⁃layer perceptron ( MLP ) and logistic regression classi⁃fier ( LRC) .关键词
意图识别/时序特征/栈式自编码器/深度学习Key words
tactical intention recognition/temporal features/stacked auto-encoder/deep learning分类
军事科技引用本文复制引用
欧微,柳少军,贺筱媛,郭圣明..基于时序特征编码的目标战术意图识别算法∗[J].指挥控制与仿真,2016,38(6):36-41,6.基金项目
国家自然科学基金（60403401，61374179，61273189，61174156，61174035）；全军军事学研究生课题 （）
