Modeling of Chaotic Time Series by Interval Type-2 NEO-Fuzzy Neural Network-Reference-Cited by-同舟云学术

Modeling of Chaotic Time Series by Interval Type-2 NEO-Fuzzy Neural Network

Published:2014 Issue: Volume: Page:643-650
ISSN:0302-9743
Container-title:Artificial Neural Networks and Machine Learning – ICANN 2014
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Author:

Todorov Yancho,Terziyska Margarita

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-11179-7_81

Reference19 articles.

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2. Jin, Y.: Advanced Fuzzy Systems Design and Applications. Physica (2003)

3. Borgelt, C., Klawonn, F., Kruse, R., Nauck, D.: Neuro-Fuzzy-Systeme. Von den Grundlagen künstlicher Neuronaler Netze zur Kopplung mit Fuzzy-Systemen. Computational Intelligence (2003)

4. Diaconescu, E.: The use of NARX Neural Networks to predict Chaotic Time Series. WSEAS Transactions on Computer Research 3(3), 182–191 (2008)

5. Esmaili, A., Shahbazian, M., Moslemi, B.: Nonlinear process identification using fuzzy wavelet neural network based on particle swarmoptimization algorithm. Journal of Basic Applied Science Research 3(5) (2013)

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