Prediction of settled water turbidity and optimal coagulant dosage in drinking water treatment plant using a hybrid model of k-means clustering and adaptive neuro-fuzzy inference system
Crossref DOI link: https://doi.org/10.1007/s13201-017-0541-5
Published Online: 2017-02-20
Published Print: 2017-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kim, Chan Moon
Parnichkun, Manukid
License valid from 2017-02-20