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Earthquake hazard assessment in seismogenic systems through Markovian artificial neural network estimation: an application to the Japan area

Author
HERRERA, C1 ; NAVA, F. A2
[1] UABC, San Quintín, B.C., Mexico
[2] CICESE, Seismology Department, Ensenada, B.C., Mexico
Source

Earth, planets and space. 2009, Vol 61, Num 11, pp 1223-1232, 10 p ; ref : 1/2 p

ISSN
1343-8832
Scientific domain
Astronomy earth cosmic environment; Geology; Geophysics
Publisher
Terra, Tokyo
Publication country
Japan
Document type
Article
Language
English
Author keyword
Markov chains Probabilistic seismic hazard assessment neural networks
Keyword (fr)
Aluminium Analyse Chaîne Markov Chaîne Markov Modèle Modélisation Méthode nouvelle Performance Planète Terre Probabilité transition Réseau neuronal Séisme Japon Asie Extrême Orient
Keyword (en)
aluminum Markov chain analysis Markov chain models Modeling new methods performances Earth Transition probability neural networks earthquakes Japan Asia Far East
Keyword (es)
Aluminio Cadena Markov Modelo Modelización Método nuevo Planeta tierra Probabilidad transición Red neuronal Sismo Japón Asia Extremo Oriente
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01D Cosmochemistry. Extraterrestrial geology

Discipline
Earth sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
22469456

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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