Time series forecasting using recurrent neural networks and wavelet reconstructed signals

CONIELECOMP 2010 - 20th International Conference on Electronics Communications and Computers

Volumn , Issue , 2010, Pages 169-173

  Garcia Pedrero, Angel ^a   Gomez Gil, Pilar ^a  

^a INSTITUTO NACIONAL DE ASTROFÍSICA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPUTATIONAL INTELLIGENCE; ECONOMIC TIME SERIES; FEED-FORWARD NETWORK; FULLY RECURRENT NEURAL NETWORKS; HYBRID COMPLEXES; NOVEL NEURAL NETWORK; PREDICTION ACCURACY; PROPOSED ARCHITECTURES; SIMILAR NUMBERS; TIME SERIES FORECASTING; TIME SERIES PREDICTION;

ARTIFICIAL INTELLIGENCE; FORECASTING; REINFORCEMENT LEARNING; TIME SERIES; WAVELET DECOMPOSITION;

RECURRENT NEURAL NETWORKS;

EID: 77952489471     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CONIELECOMP.2010.5440775     Document Type: Conference Paper

References (9)

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8. S. F. Crone, "NN5 forecasting competition for artificial neural networks & computational intelligence," 2008, avaible in http://www.neuralforecasting-competition.com/. Last review on march 2009.
9. S. F. Crone, J. Guajardo, and R.Weber, "The impact of preprocessing on support vector regression and neural networks in time series prediction," in DMIN, 2006, pp. 37-44.