Comparison of Self-Organizing Map, Artificial Neural Network, and Co-Active Neuro-Fuzzy Inference System Methods in Simulating Groundwater Quality: Geospatial Artificial Intelligence
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-021-02969-2.pdf
Reference78 articles.
1. Adamowski J, Chan HF (2011) A wavelet neural network conjunction model for groundwater level forecasting. J Hydrol 407(1–4):28–40. https://doi.org/10.1016/j.jhydrol.2011.06.013
2. Allawi MF, Jaafar O, Mohamad Hamzah F, Mohd NS, Deo RC, El-Shafie A (2018) Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region. Theor Appl Climatol 134(1–2):545–563
3. Aneetha AS, Bose S (2012) The combined approach for anomaly detection using neural networks and clustering techniques. Comput Sci Eng Int J 2(4):37–46
4. Bahrami S, Ardejani FD, Baafi E (2016) Application of artificial neural network coupled with genetic algorithm and simulated annealing to solve groundwater inflow problem to an advancing open-pit mine. J Hydrol 536:471–484
5. Besalatpour AA, Ayoubi S, Hajabbasi MA, Gharipour A, Yousefian Jazi A (2014) Feature selection using the parallel genetic algorithm for the prediction of the geometric mean diameter of soil aggregates by machine learning methods. Arid Land Res Manage 28(4):383–394
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