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Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction - Jesus Soto, Patricia Melin, Oscar Castillo

Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction

Buch | Softcover
VIII, 97 Seiten
2017 | 1st ed. 2018
Springer International Publishing (Verlag)
9783319712635 (ISBN)
CHF 74,85 inkl. MwSt

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 outputs of the Ensemble of Interval Type-2 Fuzzy Neural Network models. Genetic Algorithms and Particle Swarm Optimization are the Bio-Inspired algorithms used for the optimization of the fuzzy response integrators. The Mackey-Glass, Mexican Stock Exchange, Dow Jones and NASDAQ time series are used to test of performance of the proposed method. Prediction errors are evaluated by the following metrics: Mean Absolute Error, Mean Square Error, Root Mean Square Error, Mean Percentage Error and Mean Absolute Percentage Error. The proposed prediction model outperforms state of the art methods in predicting the particular time series considered in this work.

Introduction.- State of Art.- Problem Statement and Development.- Simulation Studies.- Conclusion.

Erscheinungsdatum
Reihe/Serie SpringerBriefs in Applied Sciences and Technology
SpringerBriefs in Computational Intelligence
Zusatzinfo VIII, 97 p. 101 illus., 73 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 177 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Computational Intelligence • Fuzzy Systems • Hybrid Systems • Intelligent Systems • Type 2 Fuzzy Neural Models
ISBN-13 9783319712635 / 9783319712635
Zustand Neuware
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