Open AccessApplications of soft computing techniques for prediction of pollutant removal by environmentally friendly adsorbents (case study: the nitrate adsorption on modified hydrochar)
Author(s) -
Laleh Divband Hafshejani,
Abd Ali Naseri,
Mostafa Moradzadeh,
Ehsan Daneshvar,
Amit Bhatnagar
Publication year - 2022
Publication title -
water science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.406
H-Index - 137
eISSN - 1996-9732
pISSN - 0273-1223
DOI - 10.2166/wst.2022.264
Subject(s) - adsorption , nitrate , bagasse , soft computing , mean squared error , gene expression programming , environmentally friendly , support vector machine , artificial neural network , materials science , mathematics , biological system , computer science , chemistry , pulp and paper industry , machine learning , engineering , organic chemistry , statistics , ecology , biology
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