A neural network algorithm for the prediction of events in multidimensional time series and its application to the analysis of data in cosmic physics-Reference-Cited by-同舟云学术

A neural network algorithm for the prediction of events in multidimensional time series and its application to the analysis of data in cosmic physics

Published:2006-01 Issue:1 Volume:16 Page:79-81
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Shugai Ju. S.,Dolenko S. A.,Persiantsev I. G.,Orlov Yu. V.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1134/S1054661806010251.pdf

Reference6 articles.

1. J. B. D. Cabrera and K. R. Mehra, “Extracting Precursor Rules from Time Series: A Classical Statistical Viewpoint,” in Proc. 2nd SIAM Int. Conf. on Data Mining (SDM-2002), Hyatt Regency, Crystal City, Arlington, VA, USA, 2002.

2. S. A. Dolenko et al., “Neural Network Search of Correlations in Time Series,” in Proc. 6th Int. Conf. on Pattern Recognition and Image Analysis: New Information Technologies (PRIA-6-2002) (Velikii Novgorod, Russia, 2002) (Velikii Novgorod, 2002), Vol. 1, pp. 198–202.

3. S. A. Dolenko et al., Pattern Recogn. Image Anal. 13(3), 441–446 (2003).

4. Yu. V. Orlov et al., Nucl. Instrum. Methods Phys. Res. A 502(2–3), 532–534 (2003).

5. Yu. S. Shugai et al., “Neural Network Algorithms of Forecasting Events and Search of Precursors in Multidimensional Time Series,” Iskusstv. Intell. (Donetsk), No. 2, 211–215 (2004).

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