Impact of Normalization and Input on ARMAX-ANN Model Performance in Suspended Sediment Load Prediction

Author:

Moeeni Hamid,Bonakdari HosseinORCID

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Reference19 articles.

1. Afan HA, El-Shafie A, Yaseen ZM, Hameed MM, Mohtar WHMW, Hussain A (2015) ANN based sediment prediction model utilizing different input scenarios. Water Resour Manag 29:1231–1245

2. Alizdeh MJ, Joneyd PM, Motahhari M, Ejlali F, Kiani H (2015) A Wavelet-ANFIS model to estimate sedimentation in dam reservoir. Int J Comput Appl T 114:19–25

3. Alp M, Cigizoglu HK (2007) Suspended sediment load simulation by two artificial neural network methods using hydrometeorological data. Environ Model Softw 22:2–13

4. Cigizoglu HK, Kisi O (2006) Methods to improve the neural network performance in suspended sediment estimation. J Hydrol 317:221–238

5. Demirci M, Üneş F, Saydemir S (2015) Suspended sediment estimation using an artificial intelligence approach. In: Heininger P, Cullmann J (eds) Sediment Matters. Springer International Publishing, Switzerland, pp 83–95

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