Ensembles of type 2 fuzzy neural models and their optimization with bio-inspired algorithms for time series prediction / Jesus Soto, Patricia Melin, Oscar Castillo.
2018
QA280
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Details
Title
Ensembles of type 2 fuzzy neural models and their optimization with bio-inspired algorithms for time series prediction / Jesus Soto, Patricia Melin, Oscar Castillo.
Author
Soto, Jesus, author.
ISBN
9783319712642 (electronic book)
3319712640 (electronic book)
9783319712635
3319712632
3319712640 (electronic book)
9783319712635
3319712632
Published
Cham, Switzerland : Springer, [2018]
Language
English
Description
1 online resource : illustrations.
Item Number
10.1007/978-3-319-71264-2 doi
Call Number
QA280
Dewey Decimal Classification
519.5/5
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 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. .
Note
Includes index.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Vendor-supplied metadata.
Series
SpringBriefs in applied sciences and technology. Computational intelligence.
Available in Other Form
Print version: 9783319712635
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