Ebook: Artificial Intelligence and Dynamic Systems for Geophysical Applications
- Tags: Geophysics and Environmental Physics, Geographical Information Systems/Cartography, Artificial Intelligence (incl. Robotics), Geophysics/Geodesy, Computational Mathematics and Numerical Analysis, Pattern Recognition
- Year: 2002
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
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
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
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
Content:
Front Matter....Pages I-XIV
Front Matter....Pages N1-N1
Dynamic and Fuzzy Logic Clustering and Classification....Pages 1-70
Applications to Physics of the Earth, Seismology and Engineering Seismology....Pages 71-122
Recognition of Earthquake-Prone Areas and Seismic Hazard Assessment....Pages 123-170
Front Matter....Pages 171-172
Fractals and Multifractals....Pages 173-238
Dynamic System Properties and Long Time Series....Pages 239-284
Conclusions and Perspectives....Pages 285-294
References....Pages 295-332
Back Matter....Pages 333-347
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
Content:
Front Matter....Pages I-XIV
Front Matter....Pages N1-N1
Dynamic and Fuzzy Logic Clustering and Classification....Pages 1-70
Applications to Physics of the Earth, Seismology and Engineering Seismology....Pages 71-122
Recognition of Earthquake-Prone Areas and Seismic Hazard Assessment....Pages 123-170
Front Matter....Pages 171-172
Fractals and Multifractals....Pages 173-238
Dynamic System Properties and Long Time Series....Pages 239-284
Conclusions and Perspectives....Pages 285-294
References....Pages 295-332
Back Matter....Pages 333-347
....
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