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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DOI
10.1186/BF03352975 
https://dx.doi.org/10.1186/BF03352975
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