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- Title
Hydrological time-series modelling using an adaptive neuro-fuzzy inference system.
- Authors
Firat, Mahmut; Güngör, Mahmud
- Abstract
The article offers information on the hydrological time-series modelling using an adaptive neuro-fuzzy inference system(ANFIS). The River Great Menderes in western Turkey is chosen as a case study area, to illustrate the applicability of an ANFIS. It is cited that performance of the ANFIS models in training and testing sets was compared, and that models having various input structures were constructed. Results show that ANFIS can be applied and can provide accuracy and reliability for time-series modelling.
- Subjects
TURKEY; TIME series analysis; FAILURE time data analysis; MATHEMATICAL statistics; HYDROLOGIC models; HYDROLOGICAL forecasting; HYDROLOGICAL research; MODELS &; modelmaking; EARTH science forecasting
- Publication
Hydrological Processes, 2008, Vol 22, Issue 13, p2122
- ISSN
0885-6087
- Publication type
Article
- DOI
10.1002/hyp.6812