Architecture Design of Artificial Neural Networks Based on Box & Jenkins Models for Time Series Prediction

I
ICCIMA
1999
Third International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'99)
Abstract - Architecture Design of Artificial Neural Networks Based on Box & Jenkins Models for Time Series Prediction

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Third International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'99)

New Delhi, India

September 23-September 26

ISBN: 0-7695-0300-4

	ASCII Text	x
	Helio Diniz, Luciano de Andrade, André de Carvalho, Marinho de Andrade, "Architecture Design of Artificial Neural Networks Based on Box & Jenkins Models for Time Series Prediction," Computational Intelligence and Multimedia Applications, International Conference on, pp. 29, Third International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'99), 1999.

	BibTex	x
	@article{ 10.1109/ICCIMA.1999.798496, author = {Helio Diniz and Luciano de Andrade and André de Carvalho and Marinho de Andrade}, title = {Architecture Design of Artificial Neural Networks Based on Box & Jenkins Models for Time Series Prediction}, journal ={Computational Intelligence and Multimedia Applications, International Conference on}, volume = {0}, year = {1999}, isbn = {0-7695-0300-4}, pages = {29}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICCIMA.1999.798496}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computational Intelligence and Multimedia Applications, International Conference on TI - Architecture Design of Artificial Neural Networks Based on Box & Jenkins Models for Time Series Prediction SN - 0-7695-0300-4 SP EP A1 - Helio Diniz, A1 - Luciano de Andrade, A1 - André de Carvalho, A1 - Marinho de Andrade, PY - 1999 KW - neural networks KW - time series KW - hybrid model VL - 0 JA - Computational Intelligence and Multimedia Applications, International Conference on ER -

Helio Diniz, University of S?o Paulo

Luciano de Andrade, University of S?o Paulo

André de Carvalho, University of S?o Paulo

Marinho de Andrade, University of S?o Paulo

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCIMA.1999.798496

This paper reports the results of neural architectures design approach for times series prediction. This approach applies some concepts of Box & Jenkins method for data pre-processing and networks design. The data used to verify the performance of these approaches were stock market time series of the Brazilian Telecommunication Company (TELEBRAS).

Index Terms:

neural networks, time series, hybrid model

Citation:

Helio Diniz, Luciano de Andrade, André de Carvalho, Marinho de Andrade, "Architecture Design of Artificial Neural Networks Based on Box & Jenkins Models for Time Series Prediction," iccima, pp.29, Third International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'99), 1999

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