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Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications

Aus der Reihe Studies in Computational Intelligence

194,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.06.2019

Abbildungen

XI, 239 illus., 173 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Oscar Castillo + weitere

Verlag

Springer

Seitenzahl

546

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

842 g

Auflage

Softcover reprint of the original 1st ed. 2018

Sprache

Englisch

ISBN

978-3-319-89028-9

Beschreibung

Rezension

“The book may be useful for scholars trying to identify research topics related to areas such as fuzzy logic, neural networks, and optimization. Many interesting real-world applications greatly enhance the utility of the book. The editors have done a good job of bringing related topics together under various headings.” (S. V. Nagaraj, Computing Reviews, January, 2019)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.06.2019

Abbildungen

XI, 239 illus., 173 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

546

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

842 g

Auflage

Softcover reprint of the original 1st ed. 2018

Sprache

Englisch

ISBN

978-3-319-89028-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
  • Produktbild: Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
  • Part I: Type-2 Fuzzy Logic in Metaheuristics.- A comparative study of dynamic adaptation of parameters in the GWO algorithm using type-1 and interval type-2 fuzzy logic.- Ensemble Neural Network optimization using a gravitational search algorithm with Interval Type-1 and Type-2 fuzzy parameter adaptation in pattern recognition applications.- Improved method based on type-2 fuzzy logic for the adaptive harmony search algorithm.- Comparison of bio-inspired methods with parameter adaptation through interval type-2 fuzzy logic.- Differential Evolution algorithm with Interval type-2 fuzzy logic for the optimization of the mutation parameter.- Part II: Neural Networks Theory and Applications.- Person recognition with modular deep neural network using the iris biometric measure.- Neuro-evolutionary Neural Network for the Estimation of Melting Point of Ionic Liquids.- A proposal to classify ways of walking patterns using spik-ing neural networks.- Partially-connected Artificial Neural Networks developed by Grammatical Evolution for pattern recognition problems.- Part III: Metaheuristics: Theory and Applications.- Bio-inspired Metaheuristics for Hyper-parameter Tuning of Support Vector Machine Classifiers.