IJPAM: Volume 83, No. 3 (2013)

TIME SERIES PREDICTION USING
WIDTH SCALING IN RBF NETWORKS

M. Moini1, A. Golbabai2
Department of Mathematics
Roudehen Branch
Islamic Azad University
Roudehen, IRAN
2Iran University of Science and Technology
Tehran, IRAN


Abstract. Conventionally, artificial neural network technique is used to predict the chaotic time series. This paper proposes an approach for the construction of width factor using genetic algorithm to optimize the Gaussian function in RBF networks. Our experimental results show that the developed evolving RBF networks are able to predict the chaotic time series.

Received: March 12, 2012

AMS Subject Classification: 35F16

Key Words and Phrases: genetic algorithms, Mackey-Glass time series, Radial basis function networks, width factor

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DOI: 10.12732/ijpam.v83i3.2 How to cite this paper?
Source:
International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2013
Volume: 83
Issue: 3