Prediction of Water Quality Index in Drinking Water Distribution System Using Activation Functions Based Ann
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11269-020-02729-8.pdf
Reference27 articles.
1. Baghapour MA, Shooshtarian MR, Zarghami M (2020) Process mining approach of a new water quality index for long-term assessment under uncertainty using consensus-based fuzzy decision support system. Water Resour Manag 34(3):1155–1172
2. Chen S, Fang G, Huang X, Zhang Y (2018) Water quality prediction model of a water diversion project based on the improved artificial bee colony–Backpropagation neural network. Water 10(6):806
3. Chou J-S, Ho C-C, Hoang H-S (2018) Determining quality of water in reservoir using machine learning. Eco Inform 44:57–75
4. Duan G, Chen D, Niu R (2019) Forecasting groundwater level for soil landslide based on a dynamic model and landslide evolution pattern. Water 11(10):2163
5. Gorai A, Hasni S, Iqbal J (2016) Prediction of ground water quality index to assess suitability for drinking purposes using fuzzy rule-based approach. Appl Water Sci 6(4):393–405
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