Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired

Description: Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction by Jesus Soto, Patricia Melin, Oscar Castillo 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 metrics: Mean Absolute Error, Mean Square Error, Root Mean Square Error, Mean Percentage Error and Mean Absolute Percentage Error. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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. Table of Contents Introduction.- State of Art.- Problem Statement and Development.- Simulation Studies.- Conclusion. Feature Includes a brief introduction, where the intelligent techniques that are used, the main contribution, motivations, application, and a general description of the proposed methods are presented Focuses on the fields of hybrid systems, fuzzy systems, bio-inspired algorithms and time series Describes the construction of ensembles of Interval Type-2 Fuzzy Neural Networks (IT2FNN) models and the optimization of their fuzzy integrators with bio-inspired algorithms for time series prediction Description for Sales People Includes a brief introduction, where the intelligent techniques that are used, the main contribution, motivations, application, and a general description of the proposed methods are presented Focuses on the fields of hybrid systems, fuzzy systems, bio-inspired algorithms and time series Describes the construction of ensembles of Interval Type-2 Fuzzy Neural Networks (IT2FNN) models and the optimization of their fuzzy integrators with bio-inspired algorithms for time series prediction Details ISBN3319712632 Author Oscar Castillo Publisher Springer International Publishing AG Edition 1st ISBN-10 3319712632 ISBN-13 9783319712635 Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Format Paperback Pages 97 Illustrations 73 Illustrations, color; 28 Illustrations, black and white; VIII, 97 p. 101 illus., 73 illus. in color. DEWEY 006.3 Year 2017 Publication Date 2017-11-28 Language English UK Release Date 2017-11-28 Edition Description 1st ed. 2018 Audience Professional & Vocational Series SpringerBriefs in Applied Sciences and Technology We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:128955430;

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