Predicting the Caspian Sea Surface Water Level Using Artificial Neural Networks

IAHR Document Library

« Back to Library Homepage « Proceedings of the 26th IAHR World Congress (London, 1995)

Predicting the Caspian Sea Surface Water Level Using Artificial Neural Networks

Download

Author(s): Manouchehr Vaziri

Linked Author(s):

Keywords: No Keywords

Abstract: Fluctuations of the Caspian Sea mean monthly surface water level for the period of January 1986 to December 1993 were studied. A backpropagation artificial neural network was used to predict the time series data. The monthly prediction for the January to December 1994 presented a continuation of the Caspian Sea surface water level rise.

DOI:

Year: 1995