Computational Intelligence Techniques in Earth and Environmental Sciences
ISBN-13:
9789401786416
ISBN-10:
9401786410
Edition:
2014
Author:
Xuan Zhu, Prashant K. Srivastava, Tanvir Islam, Manika Gupta, Saumitra Mukherjee
Publication date:
2014
Publisher:
Springer
Format:
Hardcover
281 pages
Category:
Climatology
,
Earth Sciences
,
Natural Resources
,
Nature & Ecology
,
Environment
FREE US shipping
Book details
ISBN-13:
9789401786416
ISBN-10:
9401786410
Edition:
2014
Author:
Xuan Zhu, Prashant K. Srivastava, Tanvir Islam, Manika Gupta, Saumitra Mukherjee
Publication date:
2014
Publisher:
Springer
Format:
Hardcover
281 pages
Category:
Climatology
,
Earth Sciences
,
Natural Resources
,
Nature & Ecology
,
Environment
Summary
Computational Intelligence Techniques in Earth and Environmental Sciences (ISBN-13: 9789401786416 and ISBN-10: 9401786410), written by authors
Xuan Zhu, Prashant K. Srivastava, Tanvir Islam, Manika Gupta, Saumitra Mukherjee, was published by Springer in 2014.
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Description
Computational intelligence techniques have enjoyed growing interest in recent decades among the earth and environmental science research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth. This book compiles a collection of recent developments and rigorous applications of computational intelligence in these disciplines. Techniques covered include artificial neural networks, support vector machines, fuzzy logic, decision-making algorithms, supervised and unsupervised classification algorithms, probabilistic computing, hybrid methods and morphic computing. Further topics given treatment in this volume include remote sensing, meteorology, atmospheric and oceanic modeling, climate change, environmental engineering and management, catastrophic natural hazards, air and environmental pollution and water quality. By linking computational intelligence techniques with earth and environmental science oriented problems, this book promotes synergistic activities among scientists and technicians working in areas such as data mining and machine learning. We believe that a diverse group of academics, scientists, environmentalists, meteorologists and computing experts with a common interest in computational intelligence techniques within the earth and environmental sciences will find this book to be of great value.
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