Modeling River Mixing Mechanism Using Data Driven Model
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DOI: 10.1007/s11269-016-1475-7
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- Mohammad Najafzadeh & Ahmed Sattar, 2015. "Neuro-Fuzzy GMDH Approach to Predict Longitudinal Dispersion in Water Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2205-2219, May.
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- Omid Bozorg-Haddad & Mahboubeh Zarezadeh-Mehrizi & Mehri Abdi-Dehkordi & Hugo A. Loáiciga & Miguel A. Mariño, 2016. "A self-tuning ANN model for simulation and forecasting of surface flows," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 2907-2929, July.
- Hazi Azamathulla & Aminuddin Ghani, 2011. "Genetic Programming for Predicting Longitudinal Dispersion Coefficients in Streams," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(6), pages 1537-1544, April.
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- Sadeghi, Gholamabbas & Najafzadeh, Mohammad & Ameri, Mehran, 2020. "Thermal characteristics of evacuated tube solar collectors with coil inside: An experimental study and evolutionary algorithms," Renewable Energy, Elsevier, vol. 151(C), pages 575-588.
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Keywords
Artificial neural network; Longitudinal dispersion coefficient; Pollution transmission;All these keywords.
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