Discrimination between Earthquakes and Explosion Using MLP and RBF Neural Networks

Mostafa AllamehZadeh and Jamal Mahmoudi
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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

Biostatistics and Biometrics Open Access Journal, 2017, vol. 2, issue 4, 89-101

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.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:2:y:2017:i:4:p:89-101

DOI: 10.19080/BBOAJ.2017.02.555595

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