Artificial Intelligence and Dynamic Systems for Geophysical Applications
By: by Alexei Gvishiani, Jacques Octave Dubois
Contributors: Dubois, Jacques Octave
Publisher: Springer Berlin Heidelberg
Published: 2002
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 347
ISBN-13: 9783642077579; 9783662049334
Subjects: Computer science; Physical geography; Optical pattern recognition; Mathematics; Artificial intelligence; Geographical information systems; Geography
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.
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Table of contents: title: Dynamic and Fuzzy Logic Clustering and Classification - Syntactic Algorithms for Time Series Classification - Fuzzy Logic Approach to Classification - Clustering Algorithms - Linear and Circle Structures Recognition Algorithms; title: Applications to Physics of the Earth, Seismology and Engineering Seismology - Seismological Data Classification - Syntactic Classification - Recognition of Magnetic Anomalies along Mid-Atlantic Ridge; title: Seismic Hazard Assessment and Recognition of Earthquake-Prone Areas - Earthquake-prone Areas in the Western Alps - Seismically Dangerous Zones in the Pyrenees; title: Fractals and Multifractals; title: Generalities and Recalls - Geomorphology Hydrology - Gravity Anomalies - Tectonics, Seismicity, Volcanology; title: Dynamic Systems Properties and Long Time Series; title: Conclusions and Perspectives.