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Artificial Intelligence and Dynamic Systems for Geophysical Applications [Hardcover]

Alexej Gvishiani (Author), Jacques O. Dubois (Author)

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Book Description

ISBN-10: 3540432582 | ISBN-13: 978-3540432586 | Publication Date: September 17, 2002 | Edition: 1

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

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } 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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Product Details

Hardcover: 362 pages
Publisher: Springer; 1 edition (September 17, 2002)
Language: English
ISBN-10: 3540432582
ISBN-13: 978-3540432586
Product Dimensions: 9.4 x 6.3 x 0.7 inches
Shipping Weight: 1.4 pounds (View shipping rates and policies)
Amazon Best Sellers Rank: #5,467,315 in Books (See Top 100 in Books)

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› Visit Amazon's A. D. Gvishiani Page

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Inside This Book (learn more)

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
rank lineaments, morphostructural zoning, syntactic pattern recognition scheme, seismic future, causative bodies, outer illumination, gradient magnitude image, geophysical data sets, causative sources, fracture fields, dust method, fuzzy structure, moderate seismicity, multifractal analysis, bathymetry data, multifractal spectrum, seismological stations, fuzzy version, edge pixels, fractal distribution, main classification, seismic stations, correlation dimension

Key Phrases - Capitalized Phrases (CAPs): (learn more)
Great Caucasus, Saint Malo, San Andreas, Southwest Iceland, Lake du Bouchet, North Pyrenean Fault

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