Time series data classification using recurrent neural network with ensemble learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4253 LNAI - III, Issue , 2006, Pages 742-748

  Oeda, Shinichi ^a   Kurimoto, Ikusaburo ^a   Ichimura, Takumi ^b  

^a KISARAZU NATIONAL COLLEGE OF TECHNOLOGY   (Japan)

^b HIROSHIMA CITY UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; LEARNING SYSTEMS; MATHEMATICAL MODELS; RECURRENT NEURAL NETWORKS; REGRESSION ANALYSIS; SIGNAL PROCESSING; STATISTICS; TIME SERIES ANALYSIS;

ARTIFICIAL DATA; DATA CLASSIFICATION; ENSEMBLE LEARNING; NON-PARAMETRIC REGRESSION METHODS;

CLASSIFICATION (OF INFORMATION);

EID: 33750687597     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893011_94     Document Type: Conference Paper

References (7)

1. Jordan M. I., "A Parallel Distributed Processing Approach", ICS-USCD, No. 8604, 1986.
2. G. Dorffner, "Neural Networks for time series processing", Neural Network World, 6(4), pp.447-468, 1996.
3. Elman, J. L., "Finding Structure in Time", Cognitive Science, Vol. 14, pp. 179-211, 1990
4. Breiman L., Machine Learning, Vol. 24, No. 123, 1996.
5. Freund Y., Shapire R. E., Journal of Comp. and Sys. Sci., Vol. 55, No. 119, 1997
6. Jacobs, R. A. Jordan, M. I. Nowlan, S. J. and Hinton, G. E., "Adaptive mixtures of local experts", Neural Computation, Vol.3, pp.79-87, 1991.
7. Hideaki Koizumi et-al, "Non-stress Higher Brain functional imaging, The Institute of Electronics, Information and Communication Engineering, Vol.87 No3, pp207-214, March 2004.