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Artificial Intelligence and Dynamic Systems for Geophysical Applications

Autor Alexej Gvishiani, Jacques O. Dubois
en Limba Engleză Paperback – 15 dec 2010
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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  Springer Berlin, Heidelberg – 15 dec 2010 92637 lei  6-8 săpt.
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  Springer Berlin, Heidelberg – 23 iul 2002 93587 lei  6-8 săpt.

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Specificații

ISBN-13: 9783642077579
ISBN-10: 3642077579
Pagini: 368
Ilustrații: XV, 347 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:Softcover reprint of hardcover 1st ed. 2002
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

I Artificial Intelligence in Geophysical Data Analysis.- 1 Dynamic and Fuzzy Logic Clustering and Classification.- 2 Applications to Physics of the Earth, Seismology and Engineering Seismology.- 3 Recognition of Earthquake-Prone Areas and Seismic Hazard Assessment.- II Fractals and Dynamic Systems.- 4 Fractals and Multifractals.- 5 Dynamic System Properties and Long Time Series.- 6 Conclusions and Perspectives.- III References.- IV Index.

Caracteristici

Broad and new approach Description of the most important geophysical data bases Application of theory to concrete geophysical problems