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Artificial intelligence and dynamic systems for geophysical applications
The book presents new clustering schemes, dynamical systems and pattern recognition algorithms in geophysical, geodynamical and natural hazard applications. The original mathematical technique is based on both classical and fuzzy sets models. Geophysical and natural hazard applications are mostly or...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2002
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-662-04933-4 http://cds.cern.ch/record/2006492 |
_version_ | 1780946329804996608 |
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author | Gvishiani, Alexei Dubois, Jacques Octave |
author_facet | Gvishiani, Alexei Dubois, Jacques Octave |
author_sort | Gvishiani, Alexei |
collection | CERN |
description | The book presents new clustering schemes, dynamical systems and pattern recognition algorithms in geophysical, geodynamical and natural hazard applications. The original mathematical technique is based on both classical and fuzzy sets models. Geophysical and natural hazard applications are mostly original. However, the artificial intelligence technique described in the book can be applied far beyond the limits of Earth science applications. The book is intended for research scientists, tutors, graduate students, scientists in geophysics and engineers |
id | cern-2006492 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2002 |
publisher | Springer |
record_format | invenio |
spelling | cern-20064922021-04-21T20:22:13Zdoi:10.1007/978-3-662-04933-4http://cds.cern.ch/record/2006492engGvishiani, AlexeiDubois, Jacques OctaveArtificial intelligence and dynamic systems for geophysical applicationsOther Fields of PhysicsThe book presents new clustering schemes, dynamical systems and pattern recognition algorithms in geophysical, geodynamical and natural hazard applications. The original mathematical technique is based on both classical and fuzzy sets models. Geophysical and natural hazard applications are mostly original. However, the artificial intelligence technique described in the book can be applied far beyond the limits of Earth science applications. The book is intended for research scientists, tutors, graduate students, scientists in geophysics and engineersSpringeroai:cds.cern.ch:20064922002 |
spellingShingle | Other Fields of Physics Gvishiani, Alexei Dubois, Jacques Octave Artificial intelligence and dynamic systems for geophysical applications |
title | Artificial intelligence and dynamic systems for geophysical applications |
title_full | Artificial intelligence and dynamic systems for geophysical applications |
title_fullStr | Artificial intelligence and dynamic systems for geophysical applications |
title_full_unstemmed | Artificial intelligence and dynamic systems for geophysical applications |
title_short | Artificial intelligence and dynamic systems for geophysical applications |
title_sort | artificial intelligence and dynamic systems for geophysical applications |
topic | Other Fields of Physics |
url | https://dx.doi.org/10.1007/978-3-662-04933-4 http://cds.cern.ch/record/2006492 |
work_keys_str_mv | AT gvishianialexei artificialintelligenceanddynamicsystemsforgeophysicalapplications AT duboisjacquesoctave artificialintelligenceanddynamicsystemsforgeophysicalapplications |