Calculation method of damage effects of underground engineering objectives based on data mining technology

被引：0

作者：

Zhang L. ^{[1
]}

Wu H. ^{[2
]}

Zhao Q. ^{[1
]}

Wang X. ^{[1
]}

Ren X. ^{[1
]}

Wang J. ^{[3
]}

Kong D. ^{[1
]}

机构：

[1] Institute of Defense Engineering, Academy of Militory Science of PLA, Luoyang

[2] Academy of Military Sciences, People's Liberation Army, Beijing

[3] College of Computer and Information, Hehai University, Nanjing

来源：

Baozha Yu Chongji/Explosion and Shock Waves | 2021年 / 41卷 / 03期

关键词：

Damage effects; Data mining; Data quality analysis; Feature selection; k-nearest neighbor search; Neural network;

D O I：

10.11883/bzycj-2020-0114

中图分类号：

学科分类号：

摘要：

Aiming at low calculation accuracy of damage effect caused by less data, uneven, discontinuity and narrow distribution of damage experimental data, data mining technology is introduced to calculate damage effect. The database manages damage metadata and the data cleaning technology is used to identify and eliminate dead points' data in order to control the data quality in database. An algorithm evaluation method is established to select the optimal empirical algorithm. The dimensionality reduction of high-dimensional damage data is achieved through feature selection and the main control parameters are chosen to train neural network model and k-nearest neighbor search. The "three-stage" damage effects calculation model based on data fusion has been established. The model can be used to calculate weapon damage effect based on experimental data, the empirical algorithm and the BP neural network model. The software has been developed to complete the damage calculation, and the results shows that the proposed method can meet the needs of practical application. © 2021, Editorial Staff of EXPLOSION AND SHOCK WAVES. All right reserved.

引用

共 20 条

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