Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS
Joint Authors
Djurovic, Nevenka
Domazet, Milka
Stricevic, Ruzica
Pocuca, Vesna
Spalevic, Velibor
Pivic, Radmila
Gregoric, Enika
Domazet, Uros
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-23
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Water table forecasting plays an important role in the management of groundwater resources in agricultural regions where there are drainage systems in river valleys.
The results presented in this paper pertain to an area along the left bank of the Danube River, in the Province of Vojvodina, which is the northern part of Serbia.
Two soft computing techniques were used in this research: an adaptive neurofuzzy inference system (ANFIS) and an artificial neural network (ANN) model for one-month water table forecasts at several wells located at different distances from the river.
The results suggest that both these techniques represent useful tools for modeling hydrological processes in agriculture, with similar computing and memory capabilities, such that they constitute an exceptionally good numerical framework for generating high-quality models.
American Psychological Association (APA)
Djurovic, Nevenka& Domazet, Milka& Stricevic, Ruzica& Pocuca, Vesna& Spalevic, Velibor& Pivic, Radmila…[et al.]. 2015. Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1079078
Modern Language Association (MLA)
Djurovic, Nevenka…[et al.]. Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS. The Scientific World Journal No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1079078
American Medical Association (AMA)
Djurovic, Nevenka& Domazet, Milka& Stricevic, Ruzica& Pocuca, Vesna& Spalevic, Velibor& Pivic, Radmila…[et al.]. Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1079078
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1079078