AN INVESTIGATION ON MODELING OF DALAMAN STREAM FLOWS BY USING WAVE-ANFIS
Öz
The object of the study is to investigate a flow estimation
model by using a combination of Wavelet Transform Technique (W) and Adaptive Neural
Based Fuzzy Inference System (ANFIS). Many models has been applied in recent
years for the prediction of Dalaman Stream flow in the south of Turkey. One of
these studies was AR-ANFIS models which developed by Taylan (2008), its
training data set was extended with synthetic series produced by autoregressive
processes. In this study, W-ANFIS models were developed with sub-series
generated by wavelet analysis by using extended training set of ANFIS models. It is seen that increasing the number of
input data in training increases model performance. Compared with the developed
models, it has been shown that the W-ANFIS hybrid models have a better
predictive power than the AR-ANFIS models. Consequently, the W-ANFIS hybrid
model could be used successfully in predicting of flow.
Anahtar Kelimeler
Kaynakça
- Awan, J., Bae, D-H., 2014. Improving ANFIS based model for long-term dam inflow prediction by incorporating monthly rainfall forecasts. Water Resour. Manag., 28 (5), 1185–1199.
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- Yarar, A., 2014. A hybrid wavelet and neuro-fuzzy model for forecasting the monthly streamflow data. Water Resour. Manag., 28 (2), 553–565.
- Taylan, E.D., 2008. Application Of Intelligent Systems For Flow Forecasting In Region Of Mediterranean. Ph.D. Thesis. Süleyman Demirel University Graduate School of Applied and Natural Sciences, Turkey.
- Keskin, M.E., Taylan, D., 2009. Artificial models for interbasin flow prediction in southern Turkey. ASCE Journal of Hydrologic Engineering., 14, 752–758.
- Box, G. E. P., Jenkins, G. M., Reinsel, G. C., 1994. Time Series Analysis, Forecasting and Control. Prentice-Hall, Englewood Cliffs, New Jersey, USA.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Dilek Taylan
*
SÜLEYMAN DEMİREL ÜNİVERSİTESİ
0000-0003-0734-1900
Türkiye
Yayımlanma Tarihi
26 Mart 2018
Gönderilme Tarihi
17 Ocak 2018
Kabul Tarihi
8 Mart 2018
Yayımlandığı Sayı
Yıl 2018 Cilt: 6 Sayı: 1
Cited By
Anfis İle İlgili Yapılmış Çalışmaların İçerik Analizi İle Değerlendirilmesi: Tr Dizin
European Journal of Science and Technology
https://doi.org/10.31590/ejosat.1039699