Optimization of arsenite adsorption on hydroxy apatite based adsorbent using the adaptive neuro-fuzzy inference system / Оптимизация адсорбции арсенита на адсорбенте гидроксиапатита с использованием адаптивной нейро-нечеткой инференционной системы / Optimizacija adsorpcije arsenita na adsorbent na bazi hidroksiapatita korišćenjem adaptivnog neuro-fazi sistema

Optimization of arsenite adsorption on hydroxy apatite based adsorbent using the adaptive neuro-fuzzy inference system / Оптимизация адсорбции арсенита на адсорбенте гидроксиапатита с использованием адаптивной нейро-нечеткой инференционной системы / Optimizacija adsorpcije arsenita na adsorbent na bazi hidroksiapatita korišćenjem adaptivnog neuro-fazi sistema

This paper describes an optimization procedure for the adsorption of arsenite ions from wastewater using the Adaptive Neuro-Fuzzy Inference System (ANFIS). The adsorbent is based on hydroxy apatite, a natural material obtained from carp (Cyprinus carpio) scales. The input parameters were the infl...

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Bibliographic Details
Main Authors: Zoran J. Bajić, Dragan S. Pamučar, Jovica Đ. Bogdanov, Mihael M. Bučko, Zlate S. Veličković
Format: Article
Language:English
Published: University of Defence in Belgrade 2019-10-01
Series:Vojnotehnički Glasnik
Subjects:
arsenite
adsorption
carp scales
hydroxy apatite
adsorbent
ANFIS
арсенит
адсорбция
чешуя карпа
гидроксиапатитный адсорбент
arsenit
adsorpcija
krljušt šarana
hidroksiapatit
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/0042-8469/2019/0042-84691904735B.pdf

Internet

https://scindeks-clanci.ceon.rs/data/pdf/0042-8469/2019/0042-84691904735B.pdf

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