Prediction of time series using RBF neural networks : a new approach of clustering
Joint Authors
Awwad, Muhammad
Pomares, Hector
Rojas, Ignacio
Hamdun, Mayy
Salamah, Usamah
Source
The International Arab Journal of Information Technology
Issue
Vol. 6, Issue 2 (30 Apr. 2009), pp.138-143, 6 p.
Publisher
Publication Date
2009-04-30
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
In this paper, we deal with the problem of time series prediction from a given set of input /output data.
This problem consists of the prediction of future values based on past and/or present data.
We present a new method for prediction of time series data using radial basis functions.
This approach is based on a new efficient method of clustering of the centers of the radial basis function neural network; it uses the error committed in every cluster using the real output of the radial basis function neural network trying to concentrate more clusters in those input regions where the error is bigger and move the clusters instead of just the input values of the I / O data.
This method of clustering, improves the performance of the time series prediction system obtained, compared with other methods derived from traditional algorithms.
American Psychological Association (APA)
Awwad, Muhammad& Pomares, Hector& Rojas, Ignacio& Salamah, Usamah& Hamdun, Mayy. 2009. Prediction of time series using RBF neural networks : a new approach of clustering. The International Arab Journal of Information Technology،Vol. 6, no. 2, pp.138-143.
https://search.emarefa.net/detail/BIM-10507
Modern Language Association (MLA)
Awwad, Muhammad…[et al.]. Prediction of time series using RBF neural networks : a new approach of clustering. The International Arab Journal of Information Technology Vol. 6, no. 2 (Apr. 2009), pp.138-143.
https://search.emarefa.net/detail/BIM-10507
American Medical Association (AMA)
Awwad, Muhammad& Pomares, Hector& Rojas, Ignacio& Salamah, Usamah& Hamdun, Mayy. Prediction of time series using RBF neural networks : a new approach of clustering. The International Arab Journal of Information Technology. 2009. Vol. 6, no. 2, pp.138-143.
https://search.emarefa.net/detail/BIM-10507
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 142-143
Record ID
BIM-10507