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Water Resources Management

Erschienen in:

01.10.2014

Predicting Monthly River Flows by Genetic Fuzzy Systems

verfasst von: Mustafa Erkan Turan, Mehmet Ali Yurdusev

Erschienen in: Water Resources Management | Ausgabe 13/2014

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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.

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Titel: Predicting Monthly River Flows by Genetic Fuzzy Systems
verfasst von: Mustafa Erkan Turan
Mehmet Ali Yurdusev
Publikationsdatum: 01.10.2014
Verlag: Springer Netherlands
Erschienen in: Water Resources Management / Ausgabe 13/2014
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-014-0767-z

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