Hybridisation of artificial neural network with particle swarm optimisation for water level prediction
Accurate water level (WL) prediction is essential for the efficient management of various water resource projects. The creation of a reliable model for WL forecasting is still a difficult task in water resource management. This study applies an artificial neural network (ANN) integrated with the pa...
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| Format: | Article |
| Language: | English |
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Wasit University
2023-08-01
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| Series: | Wasit Journal of Engineering Sciences |
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| Online Access: | https://ejuow.uowasit.edu.iq/index.php/ejuow/article/view/404 |
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| _version_ | 1850220427982405632 |
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| author | Sarah J. Mohammed Salah L. Zubaidi |
| author_facet | Sarah J. Mohammed Salah L. Zubaidi |
| author_sort | Sarah J. Mohammed |
| collection | DOAJ |
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Accurate water level (WL) prediction is essential for the efficient management of various water resource projects. The creation of a reliable model for WL forecasting is still a difficult task in water resource management. This study applies an artificial neural network (ANN) integrated with the particle swarm optimisation algorithm (PSO-ANN) for simulating monthly WL of the Tigris River in Alkut City, Iraq. Data pre-treatment methods are utilised for improving raw data quality and detect the optimal predictors. Monthly WL and climatic variables from 2011 to 2020, were used to construct and validate the proposed technique. The results showed that singular spectrum analysis (SSA) is a high-performance technique for denoising time series. The PSO-ANN model produces good results coefficient of determination (R2) of 0.85.
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| format | Article |
| id | doaj-art-a4bf3a0589bb4e7d87cc5028e828735e |
| institution | OA Journals |
| issn | 2305-6932 2663-1970 |
| language | English |
| publishDate | 2023-08-01 |
| publisher | Wasit University |
| record_format | Article |
| series | Wasit Journal of Engineering Sciences |
| spelling | doaj-art-a4bf3a0589bb4e7d87cc5028e828735e2025-08-20T02:07:05ZengWasit UniversityWasit Journal of Engineering Sciences2305-69322663-19702023-08-0111210.31185/ejuow.Vol11.Iss2.404Hybridisation of artificial neural network with particle swarm optimisation for water level prediction Sarah J. Mohammed0Salah L. Zubaidi1Wasit University- Engineering collegeDepartment of Civil Engineering, Wasit University Accurate water level (WL) prediction is essential for the efficient management of various water resource projects. The creation of a reliable model for WL forecasting is still a difficult task in water resource management. This study applies an artificial neural network (ANN) integrated with the particle swarm optimisation algorithm (PSO-ANN) for simulating monthly WL of the Tigris River in Alkut City, Iraq. Data pre-treatment methods are utilised for improving raw data quality and detect the optimal predictors. Monthly WL and climatic variables from 2011 to 2020, were used to construct and validate the proposed technique. The results showed that singular spectrum analysis (SSA) is a high-performance technique for denoising time series. The PSO-ANN model produces good results coefficient of determination (R2) of 0.85. https://ejuow.uowasit.edu.iq/index.php/ejuow/article/view/404Water level predictionsingular spectrum analysisartificial neural networkPSOAL-Kut City |
| spellingShingle | Sarah J. Mohammed Salah L. Zubaidi Hybridisation of artificial neural network with particle swarm optimisation for water level prediction Wasit Journal of Engineering Sciences Water level prediction singular spectrum analysis artificial neural network PSO AL-Kut City |
| title | Hybridisation of artificial neural network with particle swarm optimisation for water level prediction |
| title_full | Hybridisation of artificial neural network with particle swarm optimisation for water level prediction |
| title_fullStr | Hybridisation of artificial neural network with particle swarm optimisation for water level prediction |
| title_full_unstemmed | Hybridisation of artificial neural network with particle swarm optimisation for water level prediction |
| title_short | Hybridisation of artificial neural network with particle swarm optimisation for water level prediction |
| title_sort | hybridisation of artificial neural network with particle swarm optimisation for water level prediction |
| topic | Water level prediction singular spectrum analysis artificial neural network PSO AL-Kut City |
| url | https://ejuow.uowasit.edu.iq/index.php/ejuow/article/view/404 |
| work_keys_str_mv | AT sarahjmohammed hybridisationofartificialneuralnetworkwithparticleswarmoptimisationforwaterlevelprediction AT salahlzubaidi hybridisationofartificialneuralnetworkwithparticleswarmoptimisationforwaterlevelprediction |