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Computational Intelligence and Mathematics for Tackling Complex Problems 5 [Pehme köide]

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  • Formaat: Paperback / softback, 147 pages, kõrgus x laius: 235x155 mm, 22 Illustrations, color; 11 Illustrations, black and white; X, 147 p. 33 illus., 22 illus. in color., 1 Paperback / softback
  • Sari: Studies in Computational Intelligence 1127
  • Ilmumisaeg: 04-Jan-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303146981X
  • ISBN-13: 9783031469817
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Computational Intelligence and Mathematics for Tackling Complex Problems 5Suurem pilt
  • Formaat: Paperback / softback, 147 pages, kõrgus x laius: 235x155 mm, 22 Illustrations, color; 11 Illustrations, black and white; X, 147 p. 33 illus., 22 illus. in color., 1 Paperback / softback
  • Sari: Studies in Computational Intelligence 1127
  • Ilmumisaeg: 04-Jan-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303146981X
  • ISBN-13: 9783031469817
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031469817.html
Märksõnad:
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).
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.