Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques
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/s11269-022-03339-2.pdf
Reference35 articles.
1. Adnan RM, Yuan X, Kisi O, Adnan M, Mehmood A (2018) Stream flow forecasting of poorly gauged mountainous watershed by least square support vector machine, fuzzy genetic algorithm and M5 model tree using climatic data from nearby station. Water Resour Manag 32(14):4469–4486. https://doi.org/10.1007/s11269-018-2033-2
2. Aljarah I, Faris H, Mirjalili S (2018) Optimizing connection weights in neural networks using the whale optimization algorithm. Soft Comput. https://doi.org/10.1007/s00500-016-2442-1
3. Bilen S, Turan V (2022) Enzymatic analyses in soils. In: Amaresan N, Patel P, Amin D (eds) Practical Handbook on Agricultural Microbiology. Springer Protocols Handbooks. Humana, New York. https://doi.org/10.1007/978-1-0716-1724-3_50
4. Breiman L (2001) Random forests. Mach Learn. https://doi.org/10.1023/A:1010933404324
5. Döpke J, Fritsche U, Pierdzioch C (2017) Predicting recessions with boosted regression trees. Int J Forecast 33(4):745–759. https://doi.org/10.1016/j.ijforecast.2017.02.003
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