Abstract
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.
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Bodri, L., Čermák, V. Neural Network Prediction of Monthly Precipitation: Application to Summer Flood Occurrence in Two Regions of Central Europe. Studia Geophysica et Geodaetica 45, 155–167 (2001). https://doi.org/10.1023/A:1021864227759
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DOI: https://doi.org/10.1023/A:1021864227759