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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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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-662-04933-4 http://cds.cern.ch/record/2006492 |
| Sumario: | 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 |
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