0143432 - GFU-E 20010004 RIV CZ eng J - Článek v odborném periodiku
Bodri, L. - Čermák, Vladimír
Neural network prediction of monthly precipitation: application to summer flood occurrence in two regions of Central Europe.
Studia geophysica et geodaetica. Roč. 45, č. 2 (2001), s. 155-167. ISSN 0039-3169. E-ISSN 1573-1626
Grant CEP: GA AV ČR IAA3012005
Výzkumný záměr: CEZ:AV0Z3012916
Klíčová slova: flood * precipitation * neural network * prediction
Kód oboru RIV: DC - Seismologie, vulkanologie a struktura Země
Impakt faktor: 0.680, rok: 2001

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.
Trvalý link: http://hdl.handle.net/11104/0041131