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Computational Intelligence and Mathematics for Tackling Complex Problems 4 (Studies in Computational Intelligence)

By: Istvan A. Harmati (Edited by) , Jesus Medina-Moreno (Edited by) , Laszlo T. Koczy (Edited by) , Maria Eugenia Cornejo (Edited by)

Extended Catalogue

Ksh 20,500.00

Format: Hardback or Cased Book

ISBN-10: 3031077067

ISBN-13: 9783031077067

Collection / Series: Studies in Computational Intelligence

Collection Type: Publisher collection

Edition statement: 2023 ed.

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Sep 21st, 2022

Publication Status: Active

Product extent: 202 Pages

Product Classification / Subject(s): Numerical analysis
Artificial intelligence

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  • Reviews

The recent book of the series continues the collection of articles dealing with the important and efficient combination of traditional and novel mathematical approaches with various computational intelligence techniques, with a stress of fuzzy systems, and fuzzy logic. Complex systems are theoretically intractable, as the need of time and space resources (e.g., computer capacity) exceed any implementable extent. How is it possible that in the practice, such problems are usually manageable with an acceptable quality by human experts? They apply expert domain knowledge and various methods of approximate modeling and corresponding algorithms. Computational intelligence is the mathematical tool box that collects techniques which are able to model such human interaction, while (new) mathematical approaches are developed and used everywhere where the complexity of the sub-task allows it. The innovative approaches in this book give answer to many questions on how to solve “unsolvable” problems.

The recent book of the series continues the collection of articles dealing with the important and efficient combination of traditional and novel mathematical approaches with various computational intelligence techniques, with a stress of fuzzy systems, and fuzzy logic.

Complex systems are theoretically intractable, as the need of time and space resources (e.g., computer capacity) exceed any implementable extent. How is it possible that in the practice, such problems are usually manageable with an acceptable quality by human experts? They apply expert domain knowledge and various methods of approximate modeling and corresponding algorithms. Computational intelligence is the mathematical tool box that collects techniques which are able to model such human interaction, while (new) mathematical approaches are developed and used everywhere where the complexity of the sub-task allows it. The innovative approaches in this book give answer to many questions on how to solve "unsolvable" problems.


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