• DocumentCode
    2169318
  • Title

    Earthquake Prediction Based on the Pattern of Points Seismic Motion

  • Author

    Veri, J. ; The Ying Wah

  • Author_Institution
    Fac. of Comput. Sci. & IT, Univ. of Malaya, Kuala Lumpur, Malaysia
  • fYear
    2012
  • fDate
    26-28 Nov. 2012
  • Firstpage
    209
  • Lastpage
    212
  • Abstract
    The earthquake is an issue that needs attention, and therefore need to explain the shift of tectonic plates that cause earthquakes primary or more commonly known as tectonic earthquakes. While the earth is still spinning, the earth´s tectonic plates and crust will also continue to move. So the researchers attempted to locate and identify the movement patterns of the data points by the method of earthquake Back-Propagation Neural Network, by train and to study and analyze seismic data movement pattern of points at the past and try to find a formula or function that will link the data pattern then the desired output. Locations to determine where an earthquake will occur trend by using a set date, time and position of the earthquake. In the end of the validation test used by the earthquake events that occurred in Indonesia.
  • Keywords
    Earth crust; backpropagation; earthquakes; geophysics computing; neural nets; tectonics; Earth crust; Earth tectonic plates; Indonesia; earthquake back-propagation neural network; earthquake position; earthquake prediction; earthquake time; point seismic motion pattern; seismic data movement pattern analysis; set date; tectonic earthquakes; tectonic plate shift; validation test; Back-Propagation Neural Networks; Earthquake Prediction; Pattern of Points Seismic Motion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Science Applications and Technologies (ACSAT), 2012 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-5832-3
  • Type

    conf

  • DOI
    10.1109/ACSAT.2012.67
  • Filename
    6516353