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   Role of Artificial Intelligence Network Model For Predicting of Iron, Manganese and Ammonia of Drinking Water in A Green Sand Fixed Bed  
   
DOR 20.1001.2.9919199705.1399.11.1.146.1
نویسنده - - ,- - ,- - ,- -
منبع كنگره مهندسي شيمي - 1399 - دوره : 11 - یازدهمین کنگره بین المللی مهندسی شیمی - کد همایش: 99191-99705
چکیده    Usually iron and manganese are found in groundwater and ammonia is one of common pollutants in urban, agriculture and industrial wastewater# fixed bed of green sand was used as adsorbent system to remove iron, manganese and ammonia from aqueous solution# flow rate of aqueous solution was changed from 50 to 80 ml/min and mass of adsorbent was changed from 15 to 25 gr and the change of outlet concentration with time was recorded at each flow rate and mass of adsorbent# the outlet concentration predicted by using artificial neural network (ann) and bayesian belief network (bbn)# finally results have been compared with experimental date and a good agreement has been seen between experimental and predicted concentration#
کلیدواژه Iron ,Manganese ,Ammonia ,Adsorbent ,Concentration ,Flow Rate ,Neural Network ,Bayesian Belief Network
آدرس Guilan University, Iran, Guilan University, Iran, Guilan University, Iran, Guilan University, Iran
 
     
   
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