Assessment of the possibility of using data mining methods to predict sorption isotherms of selected organic compounds on activated carbon

The paper analyses the use of four data mining methods (Support Vector Machines. Cascade Neural Networks. Random Forests and Boosted Trees) to predict sorption on activated carbons. The input data for statistical models included the activated carbon parameters, organic substances and equilibrium con...

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Bibliographic Details
Main Authors: Dąbek Lidia, Szeląg Bartosz, Picheta-Oleś Anna
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:E3S Web of Conferences
Online Access:https://doi.org/10.1051/e3sconf/20172200032

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