Monthly river flow forecasting by an adaptive neuro-fuzzy inference system

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dc.contributor.authorFirat M.
dc.contributor.authorTuran M.E.
dc.date.accessioned2024-07-22T08:21:06Z
dc.date.available2024-07-22T08:21:06Z
dc.date.issued2010
dc.description.abstractIn this study, the applicability of an adaptive neuro-fuzzy inference system (ANFIS) to forecast for monthly river flows is investigated. For this, the Göksu river in the Seyhan catchment located in southern Turkey was chosen as a case study. The river flow forecasting models having various input structures are trained and tested by the ANFIS method. The results of ANFIS models for both training and testing are evaluated and the best-fit forecasting model is determined. The best-fit model is also trained and tested by feed forward neural networks (FFNN) and traditional autoregressive (AR) methods, and the performances of the models are compared. Moreover, ANFIS and FFNN models are verified by a validation data set including river flow data records during the time period 1997-2000. The results demonstrate that ANFIS can be applied successfully and provides high accuracy and reliability for monthly river flow forecasting. © 2009 The Authors. Journal compilation.
dc.identifier.DOI-ID10.1111/j.1747-6593.2008.00162.x
dc.identifier.issn17476593
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/18464
dc.language.isoEnglish
dc.subjectGoksu River
dc.subjectTurkey
dc.subjectCatchments
dc.subjectForecasting
dc.subjectFuzzy inference
dc.subjectFuzzy systems
dc.subjectNeural networks
dc.subjectStream flow
dc.subjectriver water
dc.subjectAdaptive neuro-fuzzy inference system
dc.subjectANFIS
dc.subjectANFIS method
dc.subjectANFIS model
dc.subjectAutoregressive methods
dc.subjectBest-fit models
dc.subjectForecasting models
dc.subjectMonthly river flow
dc.subjectRiver flow
dc.subjectRiver flow forecasting
dc.subjectTime periods
dc.subjectTraining and testing
dc.subjectValidation data
dc.subjectaccuracy assessment
dc.subjectartificial neural network
dc.subjectforecasting method
dc.subjectfuzzy mathematics
dc.subjecthydrological modeling
dc.subjectriver flow
dc.subjectarticle
dc.subjectartificial neural network
dc.subjectcatchment
dc.subjectenvironmental monitoring
dc.subjectforecasting
dc.subjectfuzzy logic
dc.subjectfuzzy system
dc.subjecthydropower
dc.subjectirrigation (agriculture)
dc.subjectmodel
dc.subjectpositive feedback
dc.subjectpriority journal
dc.subjectriver ecosystem
dc.subjectTurkey (republic)
dc.subjectRivers
dc.titleMonthly river flow forecasting by an adaptive neuro-fuzzy inference system
dc.typeArticle

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