Performance assessment of genetic programming (GP) and minimax probability machine regression (MPMR) for prediction of seismic ultrasonic attenuation

The determination of seismic attenuation ( s ) (dB/cm) is a challenging task in earthquake science. This article employs genetic programming (GP) and minimax probability machine regression (MPMR) for prediction of s . GP is developed based on genetic algorithm. MPMR maximizes the minimum probability...

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Veröffentlicht in:	Earthquake science 2013-04, Vol.26 (2), p.147-150
Hauptverfasser:	Kumar, Manoj, Mittal, Manav, Samui, Pijush
Format:	Artikel
Sprache:	eng
Schlagworte:	Earth and Environmental Science Earth Sciences Earthquakes Genetic algorithms Geophysics/Geodesy Neural networks Performance assessment Porosity Research Paper Seismic activity Seismology Studies
Online-Zugang:	Volltext
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