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

ZHANG Lei; WU Hao; ZHAO Qiang; WANG Xing; REN Xinjian; WANG Jimin; KONG Defeng

doi:10.11883/bzycj-2020-0114

Volume 41 Issue 3

Mar. 2021

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Article Navigation > Explosion And Shock Waves > 2021 > 41(3): 031101

ZHANG Lei, WU Hao, ZHAO Qiang, WANG Xing, REN Xinjian, WANG Jimin, KONG Defeng. Calculation method of damage effects of underground engineering objectives based on data mining technology[J]. Explosion And Shock Waves, 2021, 41(3): 031101. doi: 10.11883/bzycj-2020-0114

Citation:

ZHANG Lei, WU Hao, ZHAO Qiang, WANG Xing, REN Xinjian, WANG Jimin, KONG Defeng. Calculation method of damage effects of underground engineering objectives based on data mining technology[J]. Explosion And Shock Waves, 2021, 41(3): 031101. doi: 10.11883/bzycj-2020-0114

Citation:

ZHANG Lei, WU Hao, ZHAO Qiang, WANG Xing, REN Xinjian, WANG Jimin, KONG Defeng. Calculation method of damage effects of underground engineering objectives based on data mining technology[J]. Explosion And Shock Waves, 2021, 41(3): 031101. doi: 10.11883/bzycj-2020-0114

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

doi: 10.11883/bzycj-2020-0114

1.
Institute of Defense Engineering, Academy of Militory Science of PLA, Luoyang 471023, Henan, China
2.
Academy of Military Sciences, People's Liberation Army, Beijing 100071, China
3.
College of Computer and Information, Hehai University, Nanjing 211110, Jiangsu, China

Received Date: 2020-04-17
Rev Recd Date: 2020-11-26

Available Online: 2021-03-05

Publish Date: 2021-03-10

Abstract

Abstract

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.
- data mining,
- damage effects,
- data quality analysis,
- feature selection,
- k-nearest neighbor search,
- neural network

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References(20)

References

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