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ISH Journal of Hydraulic Engineering Volume 18, 2012 - Issue 3
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Original Articles

Forecasting daily stream flows using artificial intelligence approaches

Jalal Shiri Sama Technical and Vocational Training College, Tabriz Branch, Islamic Aazd University, Tabriz, IranCorrespondence[email protected]
,
Özgur Kişi Civil Engineering Department, Architectural and Engineering Faculty, Canik Basari University, Samsun, Turkey
,
Oleg Makarynskyy URS Australia, Brisbane, Australia
,
Abbas-Ali Shiri Ministry of Road and Urbanization, Road Maintenance and Transportation Organization, Tabriz, Iran
&
Bagher Nikoofar Department of Civil Engineering, Ajabshir Branch, Islamic Azad University, Ajabshir, Iran
Pages 204-214 | Received 19 Nov 2011, Accepted 25 Jun 2012, Published online: 28 Sep 2012

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Kiyoumars Roushangar, Ali Foroudi Khowr & Mojtaba Saneie. (2021) Experimental study and artificial intelligence-based modeling of discharge coefficient of converging ogee spillways. ISH Journal of Hydraulic Engineering 27:sup1, pages 97-104.
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Zhen Wang, Nasrin Fathollahzadeh Attar, Keivan Khalili, Javad Behmanesh, Shahab S. Band, Amir Mosavi & Kwok-wing Chau. (2020) Monthly streamflow prediction using a hybrid stochastic-deterministic approach for parsimonious non-linear time series modeling. Engineering Applications of Computational Fluid Mechanics 14:1, pages 1351-1372.
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Articles from other publishers (16)

Abdüsselam Altunkaynak & Kübra Küllahcı. (2022) Transfer precipitation learning via patterns of dependency matrix-based machine learning approaches. Neural Computing and Applications 34:24, pages 22177-22196.
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Akshita Gupta & Arun Kumar. (2022) Two-step daily reservoir inflow prediction using ARIMA-machine learning and ensemble models. Journal of Hydro-environment Research 45, pages 39-52.
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Saad Sh. Sammen, Mohammad Ehteram, S. I. Abba, R. A. Abdulkadir, Ali Najah Ahmed & Ahmed El-Shafie. (2021) A new soft computing model for daily streamflow forecasting. Stochastic Environmental Research and Risk Assessment 35:12, pages 2479-2491.
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Xinxiang Lei, Wei Chen, Mahdi Panahi, Fatemeh Falah, Omid Rahmati, Evelyn Uuemaa, Zahra Kalantari, Carla Sofia Santos Ferreira, Fatemeh Rezaie, John P. Tiefenbacher, Saro Lee & Huiyuan Bian. (2021) Urban flood modeling using deep-learning approaches in Seoul, South Korea. Journal of Hydrology 601, pages 126684.
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Ozgur Kisi, Meysam Alizamir & Jalal Shiri. 2021. Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation. Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation 171 181 .
Basant Yadav & Shashi Mathur. (2018) River discharge simulation using variable parameter McCarthy–Muskingum and wavelet-support vector machine methods. Neural Computing and Applications 32:7, pages 2457-2470.
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Arash Pashazadeh & Mitra Javan. (2019) Comparison of the gene expression programming, artificial neural network (ANN), and equivalent Muskingum inflow models in the flood routing of multiple branched rivers. Theoretical and Applied Climatology 139:3-4, pages 1349-1362.
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Mani Kumar & Rajeev Ranjan Sahay. (2018) Wavelet-genetic programming conjunction model for flood forecasting in rivers. Hydrology Research 49:6, pages 1880-1889.
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Sinan Nacar, M. Ali Hınıs & Murat Kankal. (2017) Forecasting Daily Streamflow Discharges Using Various Neural Network Models and Training Algorithms. KSCE Journal of Civil Engineering 22:9, pages 3676-3685.
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Eliza KhwairakpamRakesh KhosaAshvani GosainArvind NemaShashi MathurBasant Yadav. (2018) Modeling Simulation of River Discharge of Loktak Lake Catchment in Northeast India. Journal of Hydrologic Engineering 23:8.
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Ozgur Kisi, Jalal Shiri & Vahdettin Demir. 2017. Handbook of Neural Computation. Handbook of Neural Computation 45 65 .
Basant Yadav, Sudheer Ch, Shashi Mathur & Jan Adamowski. (2016) Discharge forecasting using an Online Sequential Extreme Learning Machine (OS-ELM) model: A case study in Neckar River, Germany. Measurement 92, pages 433-445.
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Huei-Tau Ouyang. (2016) Multi-objective optimization of typhoon inundation forecast models with cross-site structures for a water-level gauging network by integrating ARMAX with a genetic algorithm. Natural Hazards and Earth System Sciences 16:8, pages 1897-1909.
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Conrad R. Zorn & Asaad Y. Shamseldin. (2015) Peak flood estimation using gene expression programming. Journal of Hydrology 531, pages 1122-1128.
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Kiyoumars Roushangar, Samira Akhgar, Farzin Salmasi & Jalal Shiri. (2014) Modeling energy dissipation over stepped spillways using machine learning approaches. Journal of Hydrology 508, pages 254-265.
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Jalal Shiri, Ali Ashraf Sadraddini, Amir Hossein Nazemi, Ozgur Kisi, Gorka Landeras, Ahmad Fakheri Fard & Pau Marti. (2014) Generalizability of Gene Expression Programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran. Journal of Hydrology 508, pages 1-11.
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