• DocumentCode
    3727623
  • Title

    Artificial Neural Network attempts for long-term evaluation of great earthquakes

  • Author

    Zhengru Tao

  • Author_Institution
    Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China
  • fYear
    2015
  • Firstpage
    1128
  • Lastpage
    1132
  • Abstract
    Two kinds of Artificial Neural Networks (ANN), back propagate (BP) and back propagate-genetic algorithm (BP-GA) neural networks, are employed for long-term evaluation of great earthquakes. The potential maximum magnitude and the number of earthquakes with MW≥6.5 are predicted for Himalaya area and Nepal area. The Nepal Earthquake, occurred on April 25, 2015, is adopted to check the result. The result shows that this event cannot be evaluated, if we simply use Nepalese historical earthquake data. However, it is possible if we look up to the Himalaya area. And, in this case, the BP-GA neural network has no advantage over the BP network.
  • Keywords
    "Earthquakes","Neurons","Biological neural networks","Artificial neural networks","Hazards","Prediction algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2015 11th International Conference on
  • Electronic_ISBN
    2157-9563
  • Type

    conf

  • DOI
    10.1109/ICNC.2015.7378150
  • Filename
    7378150