An ANN Model for Predicting the Quantity of Lead and Cadmium Ions in Industrial Wastewater

Olajubu, E. A. ; Ajayi, G ; Oke, A.I ; Asahiah, F. O (2017-10)

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

Journal

Rapidindustrializationhascontributedimmenselytothedischargeofheavymetalsintoreceivingwater bodiesuntreated.Thequantityofheavymetalspredictioninindustrialwastewaterisveryessential beforetreatmentsothatthequantityispreciselyremoved.Thisarticleformulates,simulateandevaluate apredictivemodelthatmimicselectrochemicaltreatmentofleadandcadmiumionspresentinpaint industrialwastewaterusingartificialneuralnetwork.Thepredictivemodelwasformulatedusing FuzzyLogictoolboxinMATLABandthesimulationwasdoneintheenvironment.Theprediction ofthemodelwasevaluatedbycomparingthepredictedquantityofleadionsandcadmiumions withtheresultoftheexperimentalworkinthelaboratory.Thearticleconcludesthatthedeveloped predictionmodeldemonstratedveryhighpredictionaccuracyinpredictingthepercentageoflead andcadmiumionspresentinpaintswastewater