| 书目名称 | Soft Computing for Sustainability Science | | 编辑 | Carlos Cruz Corona | | 视频video | | | 概述 | Reports on the applications of soft computing methodologies to environmental issues.Presents novel solutions to a wide range of real-world problems, with a special focus on sustainability.Describes a | | 丛书名称 | Studies in Fuzziness and Soft Computing | | 图书封面 |  | | 描述 | .This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with words, linguistic models and other soft computing methods can be efficiently used to solve real-world problems. Intended as a practice-oriented guide for students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability.. . . | | 出版日期 | Book 2018 | | 关键词 | Global Temperature Rise; Intelligent Systems for Sustainable Development; Environmental Impact Assessm | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-62359-7 | | isbn_softcover | 978-3-319-87300-8 | | isbn_ebook | 978-3-319-62359-7Series ISSN 1434-9922 Series E-ISSN 1860-0808 | | issn_series | 1434-9922 | | copyright | Springer International Publishing AG 2018 |
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发表于 2025-3-21 18:00:30
