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Titlebook: Artificial Intelligence and Dynamic Systems for Geophysical Applications; Alexei Gvishiani,Jacques Octave Dubois Book 2002 Springer-Verlag

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期刊全稱Artificial Intelligence and Dynamic Systems for Geophysical Applications
影響因子2023Alexei Gvishiani,Jacques Octave Dubois
視頻videohttp://file.papertrans.cn/163/162194/162194.mp4
發(fā)行地址Broad and new approach.Description of the most important geophysical data bases.Application of theory to concrete geophysical problems
圖書封面Titlebook: Artificial Intelligence and Dynamic Systems for Geophysical Applications; Alexei Gvishiani,Jacques Octave Dubois Book 2002 Springer-Verlag
影響因子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
Pindex Book 2002
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Dynamic System Properties and Long Time Seriesater ., 1983; Guckenheimer and Buzyna, 1983; Malraison ., 1983 [74, 201, 322]), series of volcanic eruptions (Sornette ., 1991; Dubois and Cheminée, 1993 [481, 137]) and climatological time series (Nicolis and Nicolis, 1984 ; Essex ., 1987 ; Tsonis and Eisner, 1988 [381, 142, 511]). The method is pr
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Conclusions and Perspectivessing importance of artificial intelligence (AI) in geophysical data acquisition management and studies. In the past few years, the number of geophysical observation systems and the corresponding volumes of registered data flow have increased drastically. Because of this, AI techniques have become a
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