Data-driven models for monthly streamflow time series prediction (Englisch)
- Neue Suche nach: Wu, C.L.
- Neue Suche nach: Chau, K.W.
- Neue Suche nach: Wu, C.L.
- Neue Suche nach: Chau, K.W.
In:
Engineering Applications of Artificial Intelligence
;
23
, 8
;
1350-1367
;
2010
-
ISSN:
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Data-driven models for monthly streamflow time series prediction
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Beteiligte:Wu, C.L. ( Autor:in ) / Chau, K.W. ( Autor:in )
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Erschienen in:Engineering Applications of Artificial Intelligence ; 23, 8 ; 1350-1367
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Verlag:
- Neue Suche nach: Elsevier Ltd
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Erscheinungsdatum:12.04.2010
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Format / Umfang:18 pages
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ISSN:
-
DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:Hydrologic time series , Auto-regressive moving average , K-nearest-neighbors , Artificial neural networks , Phase space reconstruction , False nearest neighbors , Dynamics of chaos , ACF , Autocorrelation function , AIC , Akaike information criterion , AMI , Average mutual information , ANN , AR , Auto-regressive , ARMA , ARIMA , Auto-regressive integrated moving average , BFGS , Broyden–Fltecher–Goldfarb–Shanno , BP , Backpropagation , CCF , Cross-correlation function , CE , Coefficient of Efficiency , CT , Cuntan , DJK , Danjiangkou , FNN , FNNP , Percentage of FNN , GA , Genetic algorithm , KNN , LM , Levenberg–Marquart , LM–GA , Levenberg–Marquart and genetic algorithm , MA-ANN , Moving average artificial neural networks , MW , Manwan , NNM , Nearest neighbor method , PI , Persistence index , RE , Relative error , PSO , Particle swarm optimization , PSR , ANN-PSR , Phase space reconstruction-based artificial neural networks , RMSE , Root mean square error , SARIMA , Seasonal ARIMA , SEC-UA , Shuffled complex evolution , SVM , Support vectors machine , XJB , Xiangjiaba
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Datenquelle:
Inhaltsverzeichnis – Band 23, Ausgabe 8
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