Computational Intelligence and Mathematics for Tackling Complex Problems 4

María Eugenia Cornejo

ISBN 10: 3031077067 / ISBN 13: 9783031077067

Edité par Springer International Publishing, Springer International Publishing Sep 2022, 2022

A propos de cet article

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 216 pp. Englisch.

N° de réf. du vendeur 9783031077067

Détails bibliographiques

• Titre: Computational Intelligence and Mathematics for Tackling Complex Problems 4
• Éditeur: Springer International Publishing, Springer International Publishing Sep 2022
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 3031077067
• ISBN à 13 chiffres: 9783031077067
• Reliure: Buch
• État de l'article: Neu

A propos de ce titre

Synopsis

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.