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Optimization of bioleaching conditions with back-propagation artificial neural network

BP神经网络优化微生物浸矿工艺



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ChineseJournalofBioprocessEngineering
Vol.10No.6
Nov.2012
doi:10.3969/j.issn.1672-3678.2012.06.014
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Optimizationofbioleachingconditionswithbackpropagation
artificialneuralnetwork
SUNChao,PANGXin
(ColegeofLifeScience,ShandongUniversity,Jinan250100,China)
Abstract:Chalcopyritehydrolytewasusedasbioleachingmaterialfortheproductionofcopperionandit
couldincreasethevalueoflowgradechalcopyrite.Inthispaper,theorthogonalexperimentaldesignand
backpropagationartificialneuralnetwork(BPANN)wereemployedtoevaluatetheoptimalbioleaching
resultsafectedbyparametersofinoculumrate,oregrade,andFe(Ⅱ)addition,andleachingsolution
pH.Theresultsshowedtheoptimalbioleachingconditionpredictedbyeachapproach,andtheorthogonal
experimentaldesignshowedthat128753mg/Lcopperionwasoptimalunderthecondition.Itshowed
thatBPANNperformedtheexperimenttobebeterthanorthogonalexperimentaldesign.Undertheopti
malconditions(inoculumrate12%,oregrade03%,Fe2+addition24g/L,andleachingsolutionpH
17),theyieldofcopperionwasachievedina500mLflask
Keywords:bioleaching;BPneuralnetwork;orthogonaldesign;chalcopyritehydrolyte
  
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