Predicting Monthly River Flows by Genetic Fuzzy Systems
Mustafa Turan (mustafaerkan.turan@cbu.edu.tr) and
Mehmet Yurdusev
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2014, vol. 28, issue 13, 4685-4697
Abstract:
Reliable flow forecasts are key to developing river regulation schemes such as reservoirs. River flow prediction has conventionally been undertaken by physical and black-box models. Several black-box type models have been employed to achieve this end. Of these, genetic fuzzy systems have been used in this study as they have relatively attracted limited attention to date. Genetic-fuzzy systems are the fuzzy systems that have the capability of learning and tuning by Genetic Algorithms. Employing two different fuzzy inference systems, a case study on Gediz river basin has been performed in an attempt to find a suitable genetic fuzzy system for flow prediction. Copyright Springer Science+Business Media Dordrecht 2014
Keywords: Genetic fuzzy systems; Fuzzy systems; River flow estimation (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:28:y:2014:i:13:p:4685-4697
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DOI: 10.1007/s11269-014-0767-z
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