Artificial Intelligence and Dynamic Systems for Geophysical Applications [electronic resource] / by Alexej Gvishiani, Jacques O. Dubois
- Gvishiani, A. D.
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
- 1st ed. 2002.
- Physical Description:
- XV, 347 pages : online resource
- Additional Creators:
- Dubois, Jacques O. and SpringerLink (Online service)
- 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.
- 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.
- Digital File Characteristics:
- PDF and text file
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