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1. 12. 2019.
Fuzzy System Based on Two-Step Cascade Genetic Optimization Strategy for Tobacco Tar Prediction
There are many challenges in accurately measuring cigarette tar constituents. These include the need for standardized smoke generationmethodsrelatedtounstablemixtures.Inthisresearchweredevelopedalgorithmsusingfusionofartificialintelligencemethodstopredicttarconcentration.Outputsofdevelopmentarethreefuzzystructuresoptimizedwithgeneticalgorithmsresultingingeneticalgorithm(GA)-FUZZY,GA-adaptiveneurofuzzyinferencesystem(ANFIS),GA-GA-FUZZYalgorithms.Proposedalgorithmsareusedforthetarpredictioninthecigaretteproductionprocess.Theresultsofpredictionarecomparedwithgaschromatograph(high-performanceliquidchromatography(HPLC))readings.