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Discrimination between Earthquakes and Explosion Using MLP and RBF Neural Networks

Author

Listed:
  • Mostafa AllamehZadeh

    (Assistant professor, International Institute of Earthquake Engineering and Seismology (IIEES), Iran)

  • Jamal Mahmoudi

    (PhD student,International Institute of Earthquake Engineering and Seismology (IIEES), Iran)

Abstract

PThe discrimination of small earthquakes from explosions based on the seismic signal recorded at teleseismic distances is an important and difficult task. The characteristics of a seismic signal are related to the energy release of the event through a complex functional relationship. The elastic and an elastic response characteristics of the propagation paths, and the response characteristics of seismometers, are undesired effects that usually fade the inherent source properties of seismometers. This shows that preprocessing stage, that performs a transformation from data space into a feature space to remove redundancy from recorded signals, is a critical process.

Suggested Citation

  • Mostafa AllamehZadeh & Jamal Mahmoudi, 2017. "Discrimination between Earthquakes and Explosion Using MLP and RBF Neural Networks," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 2(4), pages 89-101, August.
    • Handle: RePEc:adp:jbboaj:v:2:y:2017:i:4:p:89-101
    DOI: 10.19080/BBOAJ.2017.02.555595
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