Intelligent techniques for cigarette formula design

Tian-Jin Feng, Lin-Tao Ma, Xiang-Qian Ding, Ning Yang and Xiezhong Xiao

Mathematics and Computers in Simulation (MATCOM), 2008, vol. 77, issue 5, 476-486

Abstract: This paper proposes a novel intelligent system for improving product formula design with sensory evaluation. The analyses and tests we carried out have shown that the proposed intelligent system is efficient for cigarette quality management, formula maintenance and new product design. Genetic algorithms, neural networks, support vector machines (SVMs) and fuzzy set method have been combined with expert knowledge in this system. The corresponding specialized knowledge can be extracted from trained neural nets or SVMs for mapping from tobacco cigarette chemical properties to sensory-quality indexes, classification of tobaccos, analysis of the correlation between chemical ingredients and sensory-quality indexes, and cigarette formula management and design.

Keywords: Formulated product design; Sensory evaluation; Formula management; Intelligent techniques; Knowledge extraction (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:77:y:2008:i:5:p:476-486

DOI: 10.1016/j.matcom.2007.11.025

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