𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Using adaptive neuro-fuzzy inference system for hydrological time series prediction

✍ Scribed by Mohammad Zounemat-Kermani; Mohammad Teshnehlab


Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
825 KB
Volume
8
Category
Article
ISSN
1568-4946

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Hydrological time-series modelling using
✍ 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

Comment on ‘Firat M, Güngor M. 2008. Hyd
✍ T. Erdik 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 43 KB

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 necessa

Reference evapotranspiration estimation
✍ Emrah Doğan 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 174 KB

## Abstract Evapotranspiration, an important component in terrestrial water balance and net primary productivity models, is difficult to measure and estimate. In this study, the potential of the adaptive neuro‐fuzzy inference system (ANFIS) is investigated in modelling of daily grass crop reference