Volume 10 Number 1 (Mar. 2018)
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IJCEE 2018 Vol.10(1): 23-30 ISSN: 1793-8163
DOI: 10.17706/IJCEE.2018.10.1.23-30

Prediction of Fractional-Order Chaotic Systems Behavior Using NARX Neural Networks

Reza Behinfaraz, Sehraneh Ghaemi, Sohrab Khanmohammadi
Abstract—Chaotic systems are complex systems which have very different behavior in different situation. When a chaotic system is fractional-order type, this complexity become more than past. Then prediction of these systems behavior is an important task which has many application in many research field. In this paper we propose a method based on artificial neural networks to prediction of this systems behavior in different conditions. Finally simulation examples show the performance of the proposed method.

Index Terms—Fractional-order chaotic system, NARX neural network, prediction.

The authors are with Faculty of Electrical and Computer Engineering University of Tabriz, Tabriz, Iran.

Cite:Reza Behinfaraz, Sehraneh Ghaemi, Sohrab Khanmohammadi, "Prediction of Fractional-Order Chaotic Systems Behavior Using NARX Neural Networks," International Journal of Computer and Electrical Engineering vol. 10, no. 1, pp. 23-30, 2018.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: INSPEC, Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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