International Journal of Computational Intelligence Systems

<Previous Article In Issue
Next Article In Issue>
Volume 12, Issue 2, 2019, Pages 1497 - 1511

Fuzzy System Based on Two-Step Cascade Genetic Optimization Strategy for Tobacco Tar Prediction

Authors
Muamer Kafadar1, *, Zikrija Avdagic1, Lejla Begic Fazlic2
1Faculty of Electrical Engineering, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
2Trier University of Applied Sciences, Environmental Campus, Germany
*Corresponding author. Email: muamer.kafadar@gmail.com
Corresponding Author
Muamer Kafadar
Received 10 November 2019, Accepted 18 November 2019, Available Online 3 December 2019.
DOI
10.2991/ijcis.d.191122.001How to use a DOI?
Keywords
Adaptive neuro fuzzy system (ANFISs); Genetic algorithm (GA); Fuzzy logic (FUZZY); Tar; GA-ANFIS; GA-FUZZY; GA-GA-FUZZY
Abstract

There are many challenges in accurately measuring cigarette tar constituents. These include the need for standardized smoke generation methods related to unstable mixtures. In this research were developed algorithms using fusion of artificial intelligence methods to predict tar concentration. Outputs of development are three fuzzy structures optimized with genetic algorithms resulting in genetic algorithm (GA)-FUZZY, GA-adaptive neuro fuzzy inference system (ANFIS), GA-GA-FUZZY algorithms. Proposed algorithms are used for the tar prediction in the cigarette production process. The results of prediction are compared with gas chromatograph (high-performance liquid chromatography (HPLC)) readings.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)
View full text (HTML)

<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 2
Pages
1497 - 1511
Publication Date
2019/12/03
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.191122.001How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Muamer Kafadar
AU  - Zikrija Avdagic
AU  - Lejla Begic Fazlic
PY  - 2019
DA  - 2019/12/03
TI  - Fuzzy System Based on Two-Step Cascade Genetic Optimization Strategy for Tobacco Tar Prediction
JO  - International Journal of Computational Intelligence Systems
SP  - 1497
EP  - 1511
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.191122.001
DO  - 10.2991/ijcis.d.191122.001
ID  - Kafadar2019
ER  -