NEURAL NETWORK PREDICTION OF MONTHLY PRECIPITATION: APPLICATION TO SUMMER FLOOD OCCURRENCE IN TWO REGIONS OF CENTRAL EUROPE
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dc.contributor.author | Bodri L. | |
dc.contributor.author | Cermak V. | |
dc.date.accessioned | 2021-03-19T05:26:31Z | |
dc.date.available | 2021-03-19T05:26:31Z | |
dc.date.issued | 2001 | |
dc.identifier | https://www.elibrary.ru/item.asp?id=1301129 | |
dc.identifier.citation | Studia Geophysica et Geodaetica, 2001, 45, 2, 155-167 | |
dc.identifier.issn | 0039-3169 | |
dc.identifier.uri | https://repository.geologyscience.ru/handle/123456789/26945 | |
dc.description.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. | |
dc.subject | FLOOD | |
dc.subject | PRECIPITATION | |
dc.subject | NEURAL NETWORK | |
dc.subject | PREDICTION | |
dc.title | NEURAL NETWORK PREDICTION OF MONTHLY PRECIPITATION: APPLICATION TO SUMMER FLOOD OCCURRENCE IN TWO REGIONS OF CENTRAL EUROPE | |
dc.type | Статья |
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