Research on the application of situation form judgment in command training based on K nearest neighbor data mining algorithm

Weilan Guo; Yujie Zhang; Xin Wang; Jieqiang Zhang; Luomeng Wangchao; Fengyun Lu

doi:10.1117/12.2638732

17 May 2022 Research on the application of situation form judgment in command training based on K nearest neighbor data mining algorithm

Weilan Guo, Yujie Zhang, Xin Wang, Jieqiang Zhang, Luomeng Wangchao, Fengyun Lu

Author Affiliations +

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 1225949 (2022) https://doi.org/10.1117/12.2638732
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China

Abstract

Based on k nearest neighbor algorithm, this paper discusses the training method of assistant commander to judge the situation in command training, and focuses on judging the situation level of a certain area in a specific event. Firstly, KNN model is introduced . Then, after understanding the principle of the algorithm, python tool is used to calculate, classify and visualize the test samples of 13 regions. Finally, according to the distance between the test sample and the test sample, the level ' risk ' of the test area X is calculated, and then a reference training method is proposed for the training of decision-making ability in command training to assist command training.

Citation Download Citation

Weilan Guo, Yujie Zhang, Xin Wang, Jieqiang Zhang, Luomeng Wangchao, and Fengyun Lu "Research on the application of situation form judgment in command training based on K nearest neighbor data mining algorithm", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 1225949 (17 May 2022); https://doi.org/10.1117/12.2638732

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