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Computational Intelligence and Mathematics for Tackling Complex Problems 5 by M.Eugenia Cornejo at Abbey's Bookshop,
Computational Intelligence and Mathematics for Tackling Complex Problems 5
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M.Eugenia Cornejo László T. Kóczy

Computational Intelligence and Mathematics for Tackling Complex Problems 5

M.Eugenia Cornejo,  László T. Kóczy,  Jesús Medina ,  Eloísa Ramírez-Poussa

$329.95   $263.71

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English
Springer International Publishing AG
03 January 2024
Numerical analysis; Artificial intelligence
Series: Studies in Computational Intelligence
This book is focused on connecting two interesting research areas, mathematics and computational intelligence, by means of appealing contributions devoted to give solutions to different challenges of the current technological age.

It continues the collection of articles dealing with the important and efficient combination of these both areas, with a stress of fuzzy systems and fuzzy logic.

It also includes relevant papers on the development and application of mathematics, artificial intelligence, and automatic reasoning tools to Digital Forensics, which have been developed within the framework of the COST Action DigForASP-CA17124 (digforasp.uca.es).
Edited by:   , , ,
Imprint:   Springer International Publishing AG
Country of Publication:   Switzerland
Edition:   2024 ed.
Volume:   1127
Dimensions:   Height: 235mm,  Width: 155mm, 
Weight:   412g
ISBN:   9783031469787
ISBN 10:   303146978X
Series:   Studies in Computational Intelligence
Pages:   147
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Additional notes on heterogeneous concept-forming operators.- On the measure of inconsistency of fuzzy relation equations.- Efficiency of fuzzy rough set decision algorithms.- Use of Fuzzy Time Series to generate linguistic descriptions of noise pollution.- A Novel Fingerprint Identification Fuzzy System Using a Center-Distance Weighted Local Binary Pattern.- Global Sensitivity Analysis and Low Magnitude Pruning for Convolutional Neural Networks Reduction in ImageNet based on Transfer Learning State of the Art Models.- Generalized linearity of aggregation and related functions.- A preliminary study between semicopulas and other algebraic structures.- Closure theory of semirings-valued fuzzy sets.

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