Computational Intelligence Techniques in Earth and Environmental Sciences
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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,…mehr

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Produktbeschreibung
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.
Autorenporträt
Dr. Tanvir Islam is working as a post-doctoral scientist with CIRA/CSU at the NOAA/NESDIS Center for Satellite Applications and Research (STAR), College Park, MD, USA. Before joining NOAA/NESDIS, he worked as a visiting scientist/research collaborator at the University of Tokyo, Japan. He finished his PhD from the Department of Civil Engineering, University of Bristol, UK. Dr. Prashant K. Srivastava worked as an assistant professor in Environmental Sciences at Sardar Patel University, Anand, Gujarat, India from June 2007 to Sep 2010. He finished his PhD under commonwealth plan in Remote Sensing from Department of Civil Engineering, University of Bristol, U.K. Currently, he is working as a research scientist for the SMAP satellite soil moisture retrieval at ESSIC/NASA Goddard Space Flight Center, Maryland, USA. Dr. Manika Gupta completed her PhD in Geo-Environmental pollution at the Department of Civil Engineering, IIT Delhi, India. Currently, she is working as a research consultant for satellite based slum area delineation. Dr. Xuan Zhu is a senior lecturer and director of the Centre for GIS at Monash University. Dr Zhüs areas of expertise include GIS theory, techniques and applications, decision support systems for regional sustainable development and environmental decision analysis and modelling. Dr. Saumitra Mukherjee is a professor in Geology & Remote sensing, School of Environmental sciences, Jawaharlal Nehru University, New Delhi.
Rezensionen
"Computational Intelligence Techniques in Earth and Environmental Sciences provides a good introductory to advanced summary of computational intelligence for complex environmental problems. It provides definitions of methods and approaches, and also includes examples where they have been applied to solve complex big data problems. Readers will find that this book helps them to understand the processes involved for environmental related complex problems, which is the purpose of computational intelligence from the outset." (Jeff Thurston, 3dvisworld.com, March, 2014)