书目名称 | Soft Computing in Interdisciplinary Sciences | 编辑 | S. Chakraverty | 视频video | | 概述 | Discusses recent developments in soft computing to solve various challenging problems of interdisciplinary sciences.Deals with approximate models and gives solutions to complex real-life problems.Serv | 丛书名称 | Studies in Computational Intelligence | 图书封面 |  | 描述 | .This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations... ..Interdisciplinary sciences includevarious challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increas | 出版日期 | Book 2022 | 关键词 | Soft computing; Fuzzy Logic; Genetic Algorithm; Machine learning; Artificial intelligence; Big Data; Hybri | 版次 | 1 | doi | https://doi.org/10.1007/978-981-16-4713-0 | isbn_softcover | 978-981-16-4715-4 | isbn_ebook | 978-981-16-4713-0Series ISSN 1860-949X Series E-ISSN 1860-9503 | issn_series | 1860-949X | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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