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Titlebook: Soft Computing in Interdisciplinary Sciences; S. Chakraverty Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive li

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發(fā)表于 2025-3-21 16:05:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Soft Computing in Interdisciplinary Sciences
編輯S. Chakraverty
視頻videohttp://file.papertrans.cn/871/870526/870526.mp4
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
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Soft Computing in Interdisciplinary Sciences;  S. Chakraverty Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive li
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
關(guān)鍵詞Soft computing; Fuzzy Logic; Genetic Algorithm; Machine learning; Artificial intelligence; Big Data; Hybri
版次1
doihttps://doi.org/10.1007/978-981-16-4713-0
isbn_softcover978-981-16-4715-4
isbn_ebook978-981-16-4713-0Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Book 2022nt 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
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Recent Trends in Interval Regression: Applications in Predicting Dengue Outbreaks,ment. Common practice of modelling is associated with point measurements. However, an interval representation for a point measure provides an additional information for the spread, capture uncertainties associated with variables and useful in making more precise decisions. Further, interval predicti
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Fuzzy-Affine Approach in Dynamic Analysis of Uncertain Structural Systems,r?standard) eigenvalue problem. In general, the material and geometric properties are assumed to be in the form of crisp (or exact). However, due to several errors and insufficient or incomplete information of data, the uncertainties are assumed to be present in the material and geometric properties
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