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Time series forecasting with neural network ensembles : an application for exchange rate prediction

Author
ZHANG, G. P1 ; BERARDI, V. L2
[1] Georgia State University, Atlanta, GA, United States
[2] Kent State University, Kent, OH, United States
Source

The Journal of the Operational Research Society. 2001, Vol 52, Num 6, pp 652-664 ; ref : 27 ref

CODEN
JORSDZ
ISSN
0160-5682
Scientific domain
Control theory, operational research
Publisher
Palgrave, Basingstoke
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Corrélation Evaluation performance Marche aléatoire Prédiction Prévision Réseau neuronal Série temporelle Taux change Temps exécution
Keyword (en)
Correlation Performance evaluation Random walk Prediction Forecasting Neural network Time series Exchange rate Execution time
Keyword (es)
Correlación Evaluación prestación Marcha aleatoria Predicción Previsión Red neuronal Serie temporal Tasa cambio Tiempo ejecución
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02M Inference from stochastic processes; time series analysis

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science / 001D01A Operational research and scientific management / 001D01A11 Planning. Forecasting

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks

Discipline
Computer science : theoretical automation and systems Mathematics Operational research. Management
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
1047651

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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