Buch, Englisch, Band 113, 468 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 733 g
Buch, Englisch, Band 113, 468 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 733 g
Reihe: Intelligent Systems Reference Library
ISBN: 978-3-319-82712-4
Verlag: Springer International Publishing
This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Energiewirtschaft: Alternative & Erneuerbare Energien
- Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Geowissenschaften Umweltwissenschaften Umweltmanagement, Umweltökonomie
Weitere Infos & Material
Waste Management.- Energy Management.- Sustainability.- Environmental Economics.- Land Use Planning.- Sustainable Transportation.
