Comparative Analysis of the Efficiency of Linear ARMA Model with ANN and ANFIS Methods for Neretva River Mean Monthly Flow Rate Estimation

Author:

Lazović NermaORCID,Skaka-Čekić FatimaORCID

Publisher

Springer International Publishing

Reference12 articles.

1. Hrelja, H.: Inženjerska hidrologija. Građevinski fakultet Sarajevo (2007)

2. Liu, S.: Hydrological modelling and forecasting. In: Peng, G., Leslie, L.M., Shao, Y. (eds.) Environmental Modelling and Prediction, pp. 215–273. Springer, Heidelberg (2002). https://doi.org/10.1007/978-3-662-04868-9_6

3. Hrelja, H., Mulaomerović, A.: Analiza hidroloških vremenskih serija. Građevinski fakultet Sarajevo (2012)

4. Castillo-Botón, C., et al.: Analysis and prediction of dammed water level in a hydropower reservoir using machine learning and persistence-based techniques. Water Resour. Manag. Adv. Mach. Learn. Approaches 12 (2020)

5. Kovačević, M., Ivanišević, N., Dašić, T., Marković, L.: Application of artificial neural networks for hydrological modelling in Karst. Građevinar 70(1), 1–10 (2018)

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