An ANN Model for Predicting the Quantity of Lead and Cadmium Ions in Industrial Wastewater
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Date
2017-10
Authors
OLAJUBU, EMMANUEL
OKE, ADESOLA ISAIAH
ASAHIAH, FRANKLIN OLADIPO
Journal Title
Journal ISSN
Volume Title
Publisher
IGI Global
Abstract
Rapidindustrializationhascontributedimmenselytothedischargeofheavymetalsintoreceivingwater bodiesuntreated.Thequantityofheavymetalspredictioninindustrialwastewaterisveryessential beforetreatmentsothatthequantityispreciselyremoved.Thisarticleformulates,simulateandevaluate apredictivemodelthatmimicselectrochemicaltreatmentofleadandcadmiumionspresentinpaint industrialwastewaterusingartificialneuralnetwork.Thepredictivemodelwasformulatedusing FuzzyLogictoolboxinMATLABandthesimulationwasdoneintheenvironment.Theprediction ofthemodelwasevaluatedbycomparingthepredictedquantityofleadionsandcadmiumions withtheresultoftheexperimentalworkinthelaboratory.Thearticleconcludesthatthedeveloped predictionmodeldemonstratedveryhighpredictionaccuracyinpredictingthepercentageoflead andcadmiumionspresentinpaintswastewater
Description
TITLE:An ANN Model for Predicting the Quantity of Lead and Cadmium Ions in Industrial Wastewater
VOLUME NO:9
ISSUE;4 OCT 2017
PAGES:16
Keywords
Cadmium Ions, Heavy Metals, Industrial Wastewater, Lead Ions, Paints Industry