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Titlebook: Interactions Between Computational Intelligence and Mathematics; László T. Kóczy,Jesús Medina Book 2018 Springer International Publishing

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发表于 2025-3-21 18:05:53 | 显示全部楼层 |阅读模式
书目名称Interactions Between Computational Intelligence and Mathematics
编辑László T. Kóczy,Jesús Medina
视频video
概述Presents recent research in the field of interaction between computational intelligence and mathematics.Provides a broad spectrum of research from theory to applications.Includes interesting contribut
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Interactions Between Computational Intelligence and Mathematics;  László T. Kóczy,Jesús Medina Book 2018 Springer International Publishing
描述This book presents recent research in the field of interaction between computational intelligence and mathematics, ranging from theory to applications. Computational intelligence, or soft computing consists of various bio-inspired methods, especially fuzzy systems, artificial neural networks, evolutionary and memetic algorithms. These research areas were initiated by professionals in various applied fields, such as engineers, economists, and financial and medical experts. Although computational intelligence offered solutions (at least quasi-optimal solutions) for problems with high complexity, vague and undeterministic features, initially little attention was paid to the mathematical models and analysis of the methods successfully applied. A typical example is the extremely successful Mamdani-algorithm, and its modifications and extensions, applied since the mid-1970s, where the first analysis of the simplest cases, showing why this algorithm was so efficient and stable, was not given until the early 1990s..Since the mid-2000s, the authors have organized international conferences annually to focus on the mathematical methodological issues in connection with computational intelligen
出版日期Book 2018
关键词Intelligent Systems; Computational Intelligence; Mathematics; Social Networks; Data Science
版次1
doihttps://doi.org/10.1007/978-3-319-74681-4
isbn_softcover978-3-030-09054-8
isbn_ebook978-3-319-74681-4Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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On Combination of Wavelet Transformation and Stabilized KH Interpolation for Fuzzy Inferences Basedanalysis, thus the complete function is represented by these several discrete points. The finiteness of the teaching samples and the resulting sparse rule bases can be handled by fuzzy rule interpolation methods, like KH interpolation. Using SHDSL transmission performance prediction as an example, t
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