Open AccessPrediction of the optimal dosage of coagulants in water treatment plants through developing models based on artificial neural network fuzzy inference system (ANFIS)
Author(s) -
Shakeri Narges,
Ghorban Asgari,
Hassan Khotanlou,
Mohammad Khazaei
Publication year - 2021
Publication title -
journal of environmental health science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 45
ISSN - 2052-336X
DOI - 10.1007/s40201-021-00710-0
Subject(s) - adaptive neuro fuzzy inference system , raw water , coagulation , water treatment , turbidity , artificial neural network , alum , alkalinity , neuro fuzzy , water quality , inference system , flocculation , mean squared error , biological system , artificial intelligence , pulp and paper industry , mathematics , environmental science , chemistry , environmental engineering , computer science , fuzzy logic , fuzzy control system , engineering , statistics , biology , ecology , psychology , organic chemistry , psychiatry
Coagulation and flocculation are the prominent processes and unit-operations in water treatment plants. One of the most challenging operations in water treatment process is determining of the coagulant dose.