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A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction

  • Published:2016-06 Issue: Volume:101 Page:15-30
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Asencio-Cortés G.,Martínez-Álvarez F.,Morales-Esteban A.,Reyes J.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference36 articles.

1. Seismicity-based earthquake forecasting techniques: Ten years of progress;Tiampo;Tectonophysics,2012

2. A probabilistic neural network for earthquake magnitude prediction;Adeli;Neural Netw.,2009

3. Large earthquake occurrence estimation based on radial basis function neural networks;Alexandridis;IEEE Trans. Geosci. Remote Sens.,2014

4. Computational intelligence techniques for predicting earthquakes;Martínez-Álvarez;Lect. Notes Artif. Intell.,2011

5. Application of neural network and ANFIS model for earthquake occurrence in Iran;Zamani;Earth Sci. Inf.,2013

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