Artificial Intelligence and Dynamic Systems for Geophysical Applications

The book presents new clustering schemes, dynamicalsystems 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

List of contents

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.

Product details

• Authors: Jacques O Dubois, Jacques O. Dubois, Alexe Gvishiani, Alexei D. Gvishiani, Alexej Gvishiani
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 29.07.2002
• EAN: 9783540432586
• ISBN: 978-3-540-43258-6
• No. of pages: 347
• Weight: 642 g
• Illustrations: XV, 347 p.
• Subjects: Natural sciences, medicine, IT, technology > Geosciences; Geophysik, B, Künstliche Intelligenz, Artificial Intelligence, Mustererkennung, Geophysics, Numerische Mathematik, environmental science, engineering & technology, pattern recognition, Geophysics and Environmental Physics, Computational Mathematics and Numerical Analysis, Physics and Astronomy, Solid Earth Sciences, Geographical information systems & remote sensing, Geographical Information Systems/Cartography, Geographical Information System, Geographical information systems, Computer mathematics, Numerical analysis, Automated Pattern Recognition, Geophysics/Geodesy, Geographical information systems and remote sensing