University of Agriculture in Krakow - Poland

Publishing House of the University of Agriculture in Krakow - Poland

Polska Bibliografia Naukowa

Thomson Routers Master List

Index Copernicus Journal Master List

AGRO

AGRIS FAO

CAB Abstracts

Arianta

AGORA

EBSCO

ERIH PLUS

Issue 6 (4) 2007 pp. 59–73

Stanisław Krzanowski, Andrzej Wałęga

USE OF ARTIFICIAL NEURAL NETWORKS FOR PREDICTING TIME SERIES OF WATER LEVELS AND RIVER FLOWS

Keywords: artificial neural networks, network training, time series, prediction, model verification
Abstract: The study examines the potential applications of artificial neural networks in predicting the time series of water levels and river flows. The data for computations comprised the time series of daily water levels and river flows at the gauging sections in Gdów and Stróża on the Raba river and in Marwin on the Krzyworzeka stream from the hydrological years 1979-1981 and the daily precipitation totals from 1978–1981 recorded at the meteorological station in Dobczyce. Two separate neural networks were created for the time series of water levels and river flows. It was decided to build perceptron networks differing in architecture. An analysis showed that the efficiency of a perceptron network in predicting water levels and river flows at the gauging section in Gdów on Raba is higher when the water levels and river flows at the Stróża gauging section on Raba and the Marwin gauging section on Krzyworzeka along with the daily precipitation totals in Dobczyce are assumed as input parameters than in the case in which the model takes no account of precipitation. Slightly better results of prediction were obtained for river flows than water levels, which may be due to somewhat different factors determining the former.
pub/6_4_59.pdf Full text available in in Adobe Acrobat format:
http://www.formatiocircumiectus.actapol.net/volume6/issue4/6_4_59.pdf

For citation:

MLA Krzanowski, Stanisław, and Andrzej Wałęga. "USE OF ARTIFICIAL NEURAL NETWORKS FOR PREDICTING TIME SERIES OF WATER LEVELS AND RIVER FLOWS." Acta Sci.Pol. Form. Cir. 6.4 (2007): 59–73.
APA (2007). . Acta Sci.Pol. Form. Cir. 6 (4), 59–73
ISO 690 KRZANOWSKI, Stanisław, WAłęGA, Andrzej. USE OF ARTIFICIAL NEURAL NETWORKS FOR PREDICTING TIME SERIES OF WATER LEVELS AND RIVER FLOWS. Acta Sci.Pol. Form. Cir., 2007, 6.4: 59–73.
EndNote BibTeX RefMan
Streszczenie w języku polskim:
http://www.formatiocircumiectus.actapol.net/tom6/zeszyt4/abstrakt-59.html