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optimization of arsenite adsorption on hydroxy apatite based adsorbent using the adaptive neuro-fuzzy inference system
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نویسنده
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bajić zoran j. ,pamučar dragan s. ,bogdanov jovica đ. ,bučko mihael m. ,veličković zlate s.
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منبع
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military technical courier - 2019 - دوره : 67 - شماره : 4 - صفحه:735 -752
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چکیده
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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 influence of ph, the temperature, the initial concentration and reaction time of arsenite adsorption while the adsorption capacity and the arsenite removal percentage were studied as the output parameters.
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کلیدواژه
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arsenite ,adsorption ,carp scales ,hydroxy apatite ,adsorbent ,anfis
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آدرس
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university of defense in belgrade, military academy, department for military chemical engineering, serbia, university of defense in belgrade, military academy, department for logistics, serbia, university of defense in belgrade, military academy, department for military chemical engineering, serbia, university of defense in belgrade, military academy, department for military chemical engineering, serbia, university of defense in belgrade, military academy, department for military chemical engineering, serbia
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پست الکترونیکی
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zlatevel@yahoo.com
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Authors
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