In this research were developed algorithms using fusion of artificial intelligence methods to predict tar concentration. Outputs of development are three fuzzy ...

Dec 3, 2019 · We try to predict amount of tar in cigarette knowing only 4 parameters of cigarette: diameter, filter ventilation, nicotine and carbon monoxide.

Dec 3, 2019 · In this research were developed algorithms using fusion of artificial intelligence methods to predict tar concentration. Outputs of development ...

In this research were developed algorithms using fusion of artificial intelligence methods to predict tar concentration. Outputs of development are three fuzzy ...

Proposed algorithms are used for predicting cigarette tar concentration using fusion of artificial intelligence method stopredicttarconcentration and ...

Nov 18, 2019 · We developed a new algorithm GA-GA-FUZZY for the determina- tion and prediction of tar as volatile compounds in cigarette smoke. In the frame of ...

The model was developed using Adaptive neuro-fuzzy inference system (ANFIS). The model performance was fair, with the best error rate of 27.22%. The ...

Fuzzy System Based on Two-Step Cascade Genetic Optimization Strategy for Tobacco Tar Prediction. Kafadar, Muamer; Avdagic, Zikrija; Lejla Begic Fazlic ...

In this research were developed algorithms using fusion of artificial intelligence methods to predict tar concentration. Outputs of development are three fuzzy ...

[2], Fuzzy System Based on Two-Step Cascade Genetic Optimization Strategy for Tobacco Tar Prediction. 2019. [3], A Novel Evolutionary Algorithm for Engineering ...