Abstract：In order to improve the analysis and understanding of the wargame exercises battlefield situation based on machine learning, this paper focuses on the feature extraction problem of wargame exercises data, proposed a deep learning model of stacked sparse denoising autoencoder network, conducted the experiment with real wargame exercises data, demonstrated the e ect by calculating the classification accuracy and prove its advantages by contrastive experiments based on different methods.
郑书奎，吴琳，贺筱媛. 基于深度学习的兵棋演习数据特征提取方法研究[J]. 指挥与控制学报, 2016, 2(3): 194-201.
ZHENG Shu-Kui，WU Lin，HE Xiao-Yuan. The Feature Extraction Method of Wargame Exercises Data Based on Deep Learning. Journal of Command and Control, 2016, 2(3): 194-201.
2016, Vol. 2 
