| 书目名称 | Intelligence Systems in Environmental Management: Theory and Applications | | 编辑 | Cengiz Kahraman,İrem Uçal‘ Sari | | 视频video | | | 概述 | Uses recently developed intelligent techniques such as genetic algorithms, neural networks, ant colony optimization, swarm optimization, Tabu search, fuzzy sets etc..Focuses on the latest developments | | 丛书名称 | Intelligent Systems Reference Library | | 图书封面 |  | | 描述 | .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 direction | | 出版日期 | Book 2017 | | 关键词 | Intelligent Systems; Environmental Management; Genetic Algorithms; Sustainability; Waste Management | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-42993-9 | | isbn_softcover | 978-3-319-82712-4 | | isbn_ebook | 978-3-319-42993-9Series ISSN 1868-4394 Series E-ISSN 1868-4408 | | issn_series | 1868-4394 | | copyright | Springer International Publishing Switzerland 2017 |
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发表于 2025-3-21 18:02:34
