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Comment on ‘Firat M, Güngor M. 2008. Hydrological time-series modelling using an adaptive neuro-fuzzy inference system. Hydrological Processes 22: 2122–2132’

✍ Scribed by T. Erdik

Publisher: John Wiley and Sons
Year: 2009
Tongue: English
Weight: 43 KB
Volume: 23
Category: Article
ISSN: 0885-6087
DOI: 10.1002/hyp.7222

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✦ Synopsis

A time-series forecasting procedure is employed by Firat and Güngör (2007) on the basis of adaptive neurofuzzy inference system (ANFIS). It has been shown that ANFIS is applicable successfully for such a purpose providing high accuracy and reliability in time-series modelling. However, it is necessary to consider physical facts in its use, otherwise misinterpretations might arise in its fuzzy logic (FL) parts. The proposed model has some deficiencies although it may seem numerically

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Reply to Comment on ‘Firat M, Güngor M.

Reply to Comment on ‘Firat M, Güngor M. 2008. Hydrological time-series modelling using an adaptive neuro-fuzzy inference system. Hydrological Processes 22: 2122–2132’

✍ M. Firat; M. Güngor 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 33 KB

Hydrological time-series modelling using

Hydrological time-series modelling using an adaptive neuro-fuzzy inference system

✍ Mahmut Firat; Mahmud Güngör 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 997 KB

## Abstract Accurate forecasting of hydrological time‐series is a quite important issue for a wise and sustainable use of water resources. In this study, an adaptive neuro‐fuzzy inference system (ANFIS) approach is used to construct a time‐series forecasting system. In particular, the applicability