A new approach in adsorption modeling using random forest regression, Bayesian multiple linear regression, and multiple linear regression : 2,4-D adsorption by a green adsorbent

The mathematical model's usage in water quality prediction has received more interest recently. In this research, the potential of random forest regression (RFR), Bayesian multiple linear regression (BMLR), and multiple linear regression (MLR) were examined to predict the amount of 2,4-dichloro...

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Publié dans:	Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 82(2020), 8 vom: 27. Okt., Seite 1586-1602
Auteur principal:	Beigzadeh, Bahareh (Auteur)
Autres auteurs:	Bahrami, Mehdi, Amiri, Mohammad Javad, Mahmoudi, Mohammad Reza
Format:	Article en ligne
Langue:	English
Publié:	2020
Accès à la collection:	Water science and technology : a journal of the International Association on Water Pollution Research
Sujets:	Journal Article Water Pollutants, Chemical 2,4-Dichlorophenoxyacetic Acid 2577AQ9262