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Więcej informacji o Computational Intelligence Techniques in Earth and Environmental Sciences

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Opis

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.

Szczegóły książki

Kategoria Książki po angielsku Earth sciences, geography, environment, planning The environment Pollution & threats to the environment

• Pełny tytuł: Computational Intelligence Techniques in Earth and Environmental Sciences
• Autor: Manika Gupta, Tanvir Islam, Saumitra Mukherjee, Prashant K. Srivastava, Xuan Zhu
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 266
• EAN: 9789402402391
• ISBN: 940240239X
• ID: 14279354
• Wydawca: Springer
• Waga: 4336 g
• Wymiary: 15 × 155 × 16 mm
• Data wydania: 17. September 2016

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