Statistical modeling of monthly streamflow using time series and artificial neural network models: Hindiya Barrage as a case study
Autoregressive Integrated Moving Average (ARIMA) Box-Jenkins models combine the autoregressive and moving average models to a stationary time series after the appropriate transformation, while the nonlinear autoregressive (N.A.R.) or the autoregressive neural network (ARNN) models are of the kind of...
Guardado en:
Autores principales: | Nabeel H. Al-Saati, Isam I. Omran, Alaa Ali Salman, Zainab Al-Saati, Khalid S. Hashim |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IWA Publishing
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a613905017184edbacb8dcbf89c3c9c5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Desarrollo de un Modelo Predictivo para la Estimación del Comportamiento de Variables en una Infraestructura de Red
por: López,Danilo A, et al.
Publicado: (2015) -
PREVISÃO PELO SERVIÇO DE FORNECIMENTO DE ÁGUA NO SEMIÁRIDO BRASILEIRO: uma aplicação dos modelos Box-Jenkins
por: Guilherme Nunes Martins, et al.
Publicado: (2014) -
Sustainability assessment of wastewater treatment techniques in urban areas of Iraq using multi-criteria decision analysis (MCDA)
por: Isam I. Omran, et al.
Publicado: (2021) -
A Novel Decomposition and Combination Technique for Forecasting Monthly Electricity Consumption
por: Xi Zhang, et al.
Publicado: (2021) -
AFYONKARAHİSAR’DA (TÜRKİYE) YAĞIŞ VE SICAKLIĞIN BOX – JENKİNS TEKNİĞİ İLE ANALİZİ
por: -
Publicado: (2019)