High Power Laser and Particle Beams, Volume. 36, Issue 9, 099002(2024)

Prediction of system-level electric field radiated emission based on ANN reverse model

Luyao Liu1...2,3, Xiao Jin1,4, and Jinliang Cai14 |Show fewer author(s)
Author Affiliations
  • 1Institute of Applied Electronics, CAEP, Mianyang 621999, China
  • 2The 29th Research Institute of China Electronics Technology Group Corporation, Chengdu 610036, China
  • 3Graduate School of China Academy of Engineering Physics, Beijing 100088, China
  • 4National Key Laboratory of Science and Technology on Advanced Laser and High Power Microwave, Mianyang 621900, China
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    References(15)

    [1] [1] Zhao Hui. System electromagic compatibility[M]. Beijing: National Defense Industry Press, 2019

    [2] [2] Kraft C H. Modeling leakage through finite apertures with TLM[C]Proceedings of the IEEE Symposium on Electromagic Compatibility. 1994: 7376.

    [3] [3] Kunz K S, Luebbers R J. The finite difference time domain method f electromagics[M]. Boca Raton: CRC Press, 1993.

    [5] Li Yongming, Zhu Yanju, Li Xu. Artificial neural networks-based prediction of electromagnetic compatibility problems[J]. Journal of Chongqing University, 31, 1313-1316,1322(2008).

    [8] [8] Kuo M J, Lin T C. Dynamical optimal training f behavial modeling of nonlinear circuit elements based on radial basis function neural wk[C]Proceedings of 2008 AsiaPacific Symposium on Electromagic Compatibility 19th International Zurich Symposium on Electromagic Compatibility. 2008.

    [9] [9] Li Xu, Yu Jihui, Zhu Yanju, et al. Prediction of electromagic compatibility problems based on artificial neural wks[C]Proceedings of 2008 Wld Automation Congress. 2008.

    [10] [10] Belkacem F T, Bensetti M, Laour M, et al. The analytical, numerical neural wk evaluation versus experimental of electromagic shielding effectiveness of a rectangular enclosure with apertures[C]Proceedings of the IEEE 9th International Conference on Cyberic Intelligent Systems. 2010.

    [12] [12] Chahine I, Kadi M, Gabiaud E, et al. Using neural wks f predicting the integrated circuits susceptibility to conducted electromagic disturbances[C]Proceedings of 2007 18th International Zurich Symposium on Electromagic Compatibility. 2007: 1316.

    [13] [13] Burghardt F, Garbe R. Introduction of artificial neural wks in EMC[C]Proceedings of 2018 IEEE Symposium on Electromagic Compatibility, Signal Integrity Power Integrity. 2018.

    [15] [15] Cong Shuang. Neural wk they applications with MATLAB toolboxes[M]. Hefei: University of Science Technology of China Press, 2009

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    Luyao Liu, Xiao Jin, Jinliang Cai. Prediction of system-level electric field radiated emission based on ANN reverse model[J]. High Power Laser and Particle Beams, 2024, 36(9): 099002

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    Paper Information

    Category: Advanced Interdisciplinary Science

    Received: May. 24, 2024

    Accepted: Jul. 22, 2024

    Published Online: Oct. 15, 2024

    The Author Email:

    DOI:10.11884/HPLPB202436.240177

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