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Shulph Ink

Computational Intelligence and Mathematics for Tackling Complex Problems 4

Computational Intelligence and Mathematics for Tackling Complex Problems 4

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  • More about Computational Intelligence and Mathematics for Tackling Complex Problems 4


The book series combines traditional and novel mathematical approaches with computational intelligence techniques to solve complex systems, which are theoretically intractable. It combines expert domain knowledge and approximate modeling methods with computational intelligence to model human interaction and develop innovative approaches to solve "unsolvable" problems.

Format: Hardback
Length: 202 pages
Publication date: 21 September 2022
Publisher: Springer International Publishing AG


The latest installment in this series delves into the intricate fusion of traditional and innovative mathematical methodologies, alongside diverse computational intelligence techniques, with a particular emphasis on fuzzy systems and fuzzy logic. The realm of complex systems poses a significant theoretical challenge, as the demands of time and space resources, such as computer capacity, surpass any feasible limits. However, it is remarkable how human experts are able to effectively manage these problems in practice, achieving acceptable solutions with remarkable proficiency. These experts harness their extensive domain knowledge and employ a range of approximate modeling techniques, along with corresponding algorithms, to navigate the complexities of these systems. Computational intelligence serves as a powerful toolbox that encompasses a diverse array of techniques capable of replicating human interaction. At the same time, new mathematical approaches are continually developed and applied wherever the complexity of a particular sub-task permits. The groundbreaking approaches presented in this book offer insightful solutions to numerous perplexing problems that were once deemed unsolvable.

Weight: 494g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031077067
Edition number: 1st ed. 2023

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