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Immune optimization inspired artificial natural killer cell earthquake prediction method

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Abstract

The occurrence of destructive earthquakes is a small probability event, that is, the seismic samples are extremely imbalanced, which increases the difficulty of earthquake prediction. The existing earthquake prediction methods rarely adopt sample imbalance technology, and the prediction results are not good enough. Therefore, this study proposes a novel immune optimization inspired Numerical Differential Artificial Natural Killer Cell Algorithm (NDANKA) for earthquake prediction. First, based on the signals collected by our developed Acoustic and Electromagnetic Testing All in one system (AETA), historical record and precursor data are combined as the data source of our proposed model; then, the numerical differential artificial-based natural killer cell method is adopted to construct time-series Synthetic Minority Over-sampling Technique; moreover, an artificial antigen presenting cell approach is introduced to predict earthquakes; finally, the stochastic gradient descent method is adopted to optimize the parameters of the proposed algorithm. Through experiments in Sichuan and surroundings, the results demonstrate that the proposed NDANKA outperforms the state-of-the-art earthquake prediction approaches. Meanwhile, a hypothesis testing is accomplished.

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Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

The authors wish to thank NSFC-https://www.nsfc.gov.cn/ for their support through Grant Number 61877045, Fundamental Research Project of Shenzhen Science and Technology Program for their support through Grant Number JCYJ20160428153956266, and Scientific Research Project of Hubei Provincial Department of Education for their support through Grant Number D20191406.

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Authors and Affiliations

  1. School of Computer Science, Hubei University of Technology, No. 28, Nanli Road, Hongshan District, Wuhan, 430068, Hubei, China

    Wen Zhou, Zhe Ming & Jingliang Chen

  2. Hubei University of Technology, No. 28, Nanli Road, Hongshan District, Wuhan, 430068, Hubei, China

    Kaixin Zhang

  3. School of Computer Science, Wuhan University, No.299 Bayi Road, Wuchang District, Wuhan, 430072, Hubei, China

    Yiwen Liang

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  1. Wen Zhou
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Correspondence to Wen Zhou.

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Zhou, W., Zhang, K., Ming, Z. et al. Immune optimization inspired artificial natural killer cell earthquake prediction method. J Supercomput 78, 19478–19500 (2022). https://doi.org/10.1007/s11227-022-04618-w

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