Predicting the concentration of sulfate using machine learning methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-022-00785-9.pdf
Reference54 articles.
1. Afan HA, El-shafie A, Mohtar WHMW, Yaseen ZM (2016) Past, present and prospect of an artificial intelligence (AI) based model for sediment transport prediction. J Hydrol 541:902–913
2. Ahmadi MA, Soleimani R, Bahadori A (2014) A computational intelligence scheme for prediction equilibrium water dew point of natural gas in TEG dehydration systems. Fuel 137:145–154
3. Al-Anazi A, Gates ID (2010) A support vector machine algorithm to classify lithofacies and model permeability in heterogeneous reservoirs. Eng Geol 114:267–277
4. Bauer E, Kohavi R (1999) An empirical comparison of voting classification algorithms: bagging, boosting, and variants. Mach Learn 36:105–139
5. Belsley DA, Kuh E, Welsch RE (1980) Identifying influential data and sources of collinearity. Regression Diagnostics
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