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

InhaltsangabeI 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.

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.- Applications to Physics of the Earth, Seismology and Engineering Seismology - Seismological Data Classification - Syntactic Classification - Recognition of Magnetic Anomalies along Mid-Atlantic Ridge.- Seismic Hazard Assessment and Recognition of Earthquake-Prone Areas - Earthquake-prone Areas in the Western Alps - Seismically Dangerous Zones in the Pyrenees.- Fractals and Multifractals.- Generalities and Recalls - Geomorphology Hydrology - Gravity Anomalies - Tectonics, Seismicity, Volcanology.- Dynamic Systems Properties and Long Time Series.- Conclusions and Perspectives.