Daily reservoir inflow forecasting using artificial neural networks with stopped training approach

Paulin Coulibaly; François Anctil; Bernard Bobée

doi:10.1016/s0022-1694(00)00214-6

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Daily reservoir inflow forecasting using artificial neural networks with stopped training approach

Paulin Coulibaly François Anctil Bernard Bobée

Year: 2000 Journal: Journal of Hydrology Vol: 230 (3-4)Pages: 244-257 Publisher: Elsevier BV

DOI: 10.1016/s0022-1694(00)00214-6

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Keywords:

Overfitting Inflow Backpropagation Artificial neural network Computer science Generalization Training (meteorology) Artificial intelligence Multivariate statistics Early stopping Machine learning Time series Meteorology Mathematics

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Hydrological Forecasting Using AI

Physical Sciences → Environmental Science → Environmental Engineering

Hydrology and Watershed Management Studies

Physical Sciences → Environmental Science → Water Science and Technology

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Daily reservoir inflow forecasting using artificial neural networks with stopped training approach

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