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Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure

  • Published:2018-06 Issue: Volume:115 Page:198-210
  • ISSN:0098-3004
  • Container-title:Computers & Geosciences
  • language:en
  • Short-container-title:Computers & Geosciences

Author:

Asencio–Cortés G.,Morales–Esteban A.,Shang X.,Martínez–Álvarez F.

Funder

Spanish Ministry of Economy and Competitiveness

Junta de Andalucía

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference44 articles.

1. A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction;Asencio-Cortés;Knowledge-Based Syst.,2016

2. Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks;Asencio-Cortés;Neural Comput. Appl.,2017

3. Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction;Asencio-Cortés;Earth Sci. Inf.,2017

4. Earthquake magnitude prediction in hindukush region using machine learning techniques;Asim;Nat. Hazards,2017

5. On how to define, understand and describe risk;Aven;Reliab. Eng. Syst. Saf.,2010

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