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Ensembles of type 2 fuzzy neural models and their optimization with bio-inspired algorithms for time series prediction

Author: Jesús Soto; Patricia Melin; Oscar Castillo
Publisher: Cham, Switzerland : Springer, [2018]
Series: SpringBriefs in applied sciences and technology., Computational intelligence.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book focuses on the fields of hybrid intelligent systems based on fuzzy systems, neural networks, bio-inspired algorithms and time series. This book describes the construction of ensembles of Interval Type-2 Fuzzy Neural Networks models and the optimization of their fuzzy integrators with bio-inspired algorithms for time series prediction. Interval type-2 and type-1 fuzzy systems are used to integrate the  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Soto, Jesus.
Ensembles of type 2 fuzzy neural models and their optimization with bio-inspired algorithms for time series prediction.
Cham, Switzerland : Springer, [2018]
(OCoLC)1007057686
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jesús Soto; Patricia Melin; Oscar Castillo
ISBN: 9783319712642 3319712640
OCLC Number: 1012939254
Notes: Includes index.
Description: 1 online resource : illustrations (some color)
Contents: Introduction.- State of Art.- Problem Statement and Development.- Simulation Studies.- Conclusion.
Series Title: SpringBriefs in applied sciences and technology., Computational intelligence.
Responsibility: Jesus Soto, Patricia Melin, Oscar Castillo.

Abstract:

This book focuses on the fields of hybrid intelligent systems based on fuzzy systems, neural networks, bio-inspired algorithms and time series. Prediction errors are evaluated by the following  Read more...

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