Articles | Volume 15, issue 3
https://doi.org/10.5194/hess-15-841-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-15-841-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Generalized versus non-generalized neural network model for multi-lead inflow forecasting at Aswan High Dam
A. El-Shafie
Senior Lecturer, Civil and Structural Engineering Dept. University Kebangsaan Malaysia, Malaysia
A. Noureldin
Associate Professor, Electrical and Computer Engineering, Royal Military College, Kingston, Canada
Viewed
Total article views: 3,125 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 12 Oct 2010)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,609 | 1,352 | 164 | 3,125 | 133 | 108 |
- HTML: 1,609
- PDF: 1,352
- XML: 164
- Total: 3,125
- BibTeX: 133
- EndNote: 108
Total article views: 2,376 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 11 Mar 2011)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,349 | 902 | 125 | 2,376 | 115 | 100 |
- HTML: 1,349
- PDF: 902
- XML: 125
- Total: 2,376
- BibTeX: 115
- EndNote: 100
Total article views: 749 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 12 Oct 2010)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
260 | 450 | 39 | 749 | 18 | 8 |
- HTML: 260
- PDF: 450
- XML: 39
- Total: 749
- BibTeX: 18
- EndNote: 8
Cited
33 citations as recorded by crossref.
- Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network P. Kumar et al. 10.1080/19942060.2021.1990134
- Review on generating optimal operation for dam and reservoir water system: simulation models and optimization algorithms S. Saab et al. 10.1007/s13201-022-01593-8
- Monthly inflow forecasting utilizing advanced artificial intelligence methods: a case study of Haditha Dam in Iraq M. Allawi et al. 10.1007/s00477-021-02052-7
- Developing reservoir evaporation predictive model for successful dam management M. Allawi et al. 10.1007/s00477-020-01918-6
- A toy model for monthly river flow forecasting X. Zeng et al. 10.1016/j.jhydrol.2012.05.053
- Optimizing Photodegradation Rate Prediction of Organic Contaminants: Models with Fine-Tuned Hyperparameters and SHAP Feature Analysis for Informed Decision Making R. Schossler et al. 10.1021/acsestwater.3c00435
- Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS N. Djurovic et al. 10.1155/2015/742138
- Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow A. Osman et al. 10.1016/j.jhydrol.2020.124896
- On the need of ensemble flood forecast in India J. Nanditha & V. Mishra 10.1016/j.wasec.2021.100086
- An Adaptive Intrusion Detection System in the Internet of Medical Things Using Fuzzy-Based Learning M. Alalhareth & S. Hong 10.3390/s23229247
- Adjusting wavelet-based multiresolution analysis boundary conditions for long-term streamflow forecasting I. Maslova et al. 10.1002/hyp.10564
- Bayesian model averaging for the prediction of water main failure for small to large Canadian municipalities G. Kabir et al. 10.1139/cjce-2015-0374
- Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region M. Allawi et al. 10.1007/s00704-017-2292-5
- Analyzing the association between the hydrodynamics and bank erosion along the Padma River: 2020 monsoon floods A. Aishi & A. Fahim 10.1080/19475705.2024.2399668
- An ANN-based emulation modelling framework for flood inundation modelling: Application, challenges and future directions H. Chu et al. 10.1016/j.envsoft.2019.104587
- Particulate pollution status and its characteristics during 2015–2016 in Hunan, China C. Dai et al. 10.1016/j.apr.2018.12.001
- Application of static and dynamic artificial neural networks for forecasting inflow discharges, case study: Sefidroud Dam reservoir P. Hadiyan et al. 10.1016/j.suscom.2020.100401
- Multistep-ahead daily inflow forecasting using the ERA-Interim reanalysis data set based on gradient-boosting regression trees S. Liao et al. 10.5194/hess-24-2343-2020
- Long-lead streamflow forecasting using computational intelligence methods while considering uncertainty issue M. Najafzadeh & S. Anvari 10.1007/s11356-023-28236-y
- Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting C. Li et al. 10.1007/s11269-016-1474-8
- Dynamic versus static neural network model for rainfall forecasting at Klang River Basin, Malaysia A. El-Shafie et al. 10.5194/hess-16-1151-2012
- Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review F. Fahimi et al. 10.1007/s00704-016-1735-8
- Application of artificial intelligence in geotechnical engineering: A state-of-the-art review A. Baghbani et al. 10.1016/j.earscirev.2022.103991
- Coastal forecast through coupling of Artificial Intelligence and hydro-morphodynamical modelling P. Kumar & N. Leonardi 10.1080/21664250.2023.2233724
- Review on applications of artificial intelligence methods for dam and reservoir-hydro-environment models M. Allawi et al. 10.1007/s11356-018-1867-8
- ANNs and inflow forecast to aid stochastic optimization of reservoir operation K. Silva Santos et al. 10.1080/23249676.2019.1687017
- Prediction of particulate matter concentration profile in an opencast copper mine in India using an artificial neural network model A. Patra et al. 10.1007/s11869-015-0369-9
- Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS) A. Hipni et al. 10.1007/s11269-013-0382-4
- Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm Q. Pham et al. 10.1007/s00500-020-05058-5
- Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China B. Li et al. 10.2166/nh.2016.264
- Prediction and optimization of runoff via ANFIS and GA D. Ghose et al. 10.1016/j.aej.2013.01.001
- Enhancing the Forecasting of Monthly Streamflow in the Main Key Stations of the River Nile Basin M. Elganiny & A. Eldwer 10.1134/S0097807818050135
- Performance Enhancement Model for Rainfall Forecasting Utilizing Integrated Wavelet-Convolutional Neural Network K. Chong et al. 10.1007/s11269-020-02554-z
27 citations as recorded by crossref.
- Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network P. Kumar et al. 10.1080/19942060.2021.1990134
- Review on generating optimal operation for dam and reservoir water system: simulation models and optimization algorithms S. Saab et al. 10.1007/s13201-022-01593-8
- Monthly inflow forecasting utilizing advanced artificial intelligence methods: a case study of Haditha Dam in Iraq M. Allawi et al. 10.1007/s00477-021-02052-7
- Developing reservoir evaporation predictive model for successful dam management M. Allawi et al. 10.1007/s00477-020-01918-6
- A toy model for monthly river flow forecasting X. Zeng et al. 10.1016/j.jhydrol.2012.05.053
- Optimizing Photodegradation Rate Prediction of Organic Contaminants: Models with Fine-Tuned Hyperparameters and SHAP Feature Analysis for Informed Decision Making R. Schossler et al. 10.1021/acsestwater.3c00435
- Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS N. Djurovic et al. 10.1155/2015/742138
- Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow A. Osman et al. 10.1016/j.jhydrol.2020.124896
- On the need of ensemble flood forecast in India J. Nanditha & V. Mishra 10.1016/j.wasec.2021.100086
- An Adaptive Intrusion Detection System in the Internet of Medical Things Using Fuzzy-Based Learning M. Alalhareth & S. Hong 10.3390/s23229247
- Adjusting wavelet-based multiresolution analysis boundary conditions for long-term streamflow forecasting I. Maslova et al. 10.1002/hyp.10564
- Bayesian model averaging for the prediction of water main failure for small to large Canadian municipalities G. Kabir et al. 10.1139/cjce-2015-0374
- Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region M. Allawi et al. 10.1007/s00704-017-2292-5
- Analyzing the association between the hydrodynamics and bank erosion along the Padma River: 2020 monsoon floods A. Aishi & A. Fahim 10.1080/19475705.2024.2399668
- An ANN-based emulation modelling framework for flood inundation modelling: Application, challenges and future directions H. Chu et al. 10.1016/j.envsoft.2019.104587
- Particulate pollution status and its characteristics during 2015–2016 in Hunan, China C. Dai et al. 10.1016/j.apr.2018.12.001
- Application of static and dynamic artificial neural networks for forecasting inflow discharges, case study: Sefidroud Dam reservoir P. Hadiyan et al. 10.1016/j.suscom.2020.100401
- Multistep-ahead daily inflow forecasting using the ERA-Interim reanalysis data set based on gradient-boosting regression trees S. Liao et al. 10.5194/hess-24-2343-2020
- Long-lead streamflow forecasting using computational intelligence methods while considering uncertainty issue M. Najafzadeh & S. Anvari 10.1007/s11356-023-28236-y
- Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting C. Li et al. 10.1007/s11269-016-1474-8
- Dynamic versus static neural network model for rainfall forecasting at Klang River Basin, Malaysia A. El-Shafie et al. 10.5194/hess-16-1151-2012
- Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review F. Fahimi et al. 10.1007/s00704-016-1735-8
- Application of artificial intelligence in geotechnical engineering: A state-of-the-art review A. Baghbani et al. 10.1016/j.earscirev.2022.103991
- Coastal forecast through coupling of Artificial Intelligence and hydro-morphodynamical modelling P. Kumar & N. Leonardi 10.1080/21664250.2023.2233724
- Review on applications of artificial intelligence methods for dam and reservoir-hydro-environment models M. Allawi et al. 10.1007/s11356-018-1867-8
- ANNs and inflow forecast to aid stochastic optimization of reservoir operation K. Silva Santos et al. 10.1080/23249676.2019.1687017
- Prediction of particulate matter concentration profile in an opencast copper mine in India using an artificial neural network model A. Patra et al. 10.1007/s11869-015-0369-9
6 citations as recorded by crossref.
- Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS) A. Hipni et al. 10.1007/s11269-013-0382-4
- Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm Q. Pham et al. 10.1007/s00500-020-05058-5
- Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China B. Li et al. 10.2166/nh.2016.264
- Prediction and optimization of runoff via ANFIS and GA D. Ghose et al. 10.1016/j.aej.2013.01.001
- Enhancing the Forecasting of Monthly Streamflow in the Main Key Stations of the River Nile Basin M. Elganiny & A. Eldwer 10.1134/S0097807818050135
- Performance Enhancement Model for Rainfall Forecasting Utilizing Integrated Wavelet-Convolutional Neural Network K. Chong et al. 10.1007/s11269-020-02554-z
Saved (final revised paper)
Latest update: 23 Nov 2024