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Application of improved ELM algorithm in the prediction of earthquake casualties

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  • Xing Huang
  • Mengjie Luo
  • Huidong Jin

Abstract

Background: Earthquake casualties prediction is a basic work of the emergency response. Traditional forecasting methods have strict requirements on sample data and lots of parameters are required to be set manually, which can result in poor results with low prediction accuracy and slow learning speed. Method: In this paper, the Extreme Leaning Machine (ELM) is introduced into the earthquake disaster casualty predictions with the purpose of improving the prediction accuracy. However, traditional ELM model still has the problems of poor network structure stability and low prediction accuracy. So an Adaptive Chaos Particle Swarm Optimization (ACPSO) is proposed to the optimize traditional ELM’s network parameters to enhance network stability and prediction accuracy, and the improved ELM model is applied to earthquake disaster casualty prediction. Results: The experimental results show that the earthquake disaster casualty prediction model based on ACPSO-ELM algorithm has better stability and prediction accuracy. Conclusion: ACPSO-ELM algorithm has better practicality and generalization in earthquake disaster casualty prediction.

Suggested Citation

  • Xing Huang & Mengjie Luo & Huidong Jin, 2020. "Application of improved ELM algorithm in the prediction of earthquake casualties," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-13, June.
    • Handle: RePEc:plo:pone00:0235236
    DOI: 10.1371/journal.pone.0235236
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    References listed on IDEAS

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    1. Huang Xing & Zhou Zhonglin & Wang Shaoyu, 2015. "The prediction model of earthquake casuailty based on robust wavelet v-SVM," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 717-732, June.
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    Cited by:

    1. Manhao Luo & Shuangyun Peng & Yanbo Cao & Jing Liu & Bangmei Huang, 2023. "Earthquake fatality prediction based on hybrid feature importance assessment: a case study in Yunnan Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 3353-3376, April.

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