Neural Network Prediction of Monthly Precipitation: Application to Summer Flood Occurrence in Two Regions of Central Europe
Author: Bodri, L.
Source: Studia Geophysica et Geodaetica, Volume 45, Number 2, April 2001 , pp. 155-167(13)
Artificial Neural Network (ANN) models were used to forecast precipitation. Three-layer back propagation ANNs were trained with actual monthly precipitation data from six Czech and four Hungarian meteorological stations for the period 1961-1998. The predicted amounts are the next month's precipitation. Both training and testing ANN results provided a good fit with the actual data and displayed high feasibility in predicting extreme precipitation.
Document Type: Research Article
Affiliations: Research Group for Geophysics and Environmental Physics, Hungarian Academy of Sciences, c/o Geophysical Department, Eötvös University. Ludovika 2, 1083 Budapest, Hungary. email@example.com
Publication date: 2001-04-01