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Interactions between computational intelligence and mathematics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Interactions between computational intelligence and mathematics/ edited by Laszlo T. Koczy, Jesus Medina.
其他作者:	Koczy, Laszlo T.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	ix, 119 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Engineering. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-74681-4
ISBN:	9783319746814

Interactions between computational intelligence and mathematics
Interactions between computational intelligence and mathematics[electronic resource] /edited by Laszlo T. Koczy, Jesus Medina. - Cham :Springer International Publishing :2018. - ix, 119 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.7581860-949X ;. - Studies in computational intelligence ;v. 50. .

Page Rank vs. Katz: Is the centrality algorithm choice relevant to measure user influence in Twitter? -- Weighted means based filters for SAR Imagery -- On Combination of Wavelet Transformation and Stabilized KH Interpolation for Fuzzy Inferences Based on High Dimensional Sampled Functions -- Abductive Reasoning on Molecular Interaction Maps -- Efficient unfolding of fuzzy connectives for multi-adjoint logic programs -- On Generalizations of Concept Lattices -- Generating fuzzy attribute rules via Fuzzy Formal Concept Analysis.

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 intelligence approaches. These conferences have attracted a large number of submissions with a wide scope of topics and quality. The editors selected several high-quality papers and approached the authors to submit an essentially extended and improved book chapter based on the lectures. This volume is the first contributed book on the subject.

ISBN: 9783319746814

Standard No.: 10.1007/978-3-319-74681-4doiSubjects--Topical Terms:

561152
Engineering.

LC Class. No.: Q342 / .I584 2018

Dewey Class. No.: 006.3

Interactions between computational intelligence and mathematics
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505 0 $a Page Rank vs. Katz: Is the centrality algorithm choice relevant to measure user influence in Twitter? -- Weighted means based filters for SAR Imagery -- On Combination of Wavelet Transformation and Stabilized KH Interpolation for Fuzzy Inferences Based on High Dimensional Sampled Functions -- Abductive Reasoning on Molecular Interaction Maps -- Efficient unfolding of fuzzy connectives for multi-adjoint logic programs -- On Generalizations of Concept Lattices -- Generating fuzzy attribute rules via Fuzzy Formal Concept Analysis.
520 $a 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 intelligence approaches. These conferences have attracted a large number of submissions with a wide scope of topics and quality. The editors selected several high-quality papers and approached the authors to submit an essentially extended and improved book chapter based on the lectures. This volume is the first contributed book on the subject.
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