Skip to content
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 10 (2025): Issue 1 (January 2025)
Open Access
Research on tobacco composition analysis and ratio optimization strategy using data mining technology
Xingliang Li
Xingliang Li
Research and Development Center, Gansu Tobacco Industrial Co., Ltd
Lanzhou, China
Search for this author on
Sciendo
|
Google Scholar
Li, Xingliang
,
Weixian Ren
Weixian Ren
Research and Development Center, Gansu Tobacco Industrial Co., Ltd
Lanzhou, China
Search for this author on
Sciendo
|
Google Scholar
Ren, Weixian
and
Guangwei Liu
Guangwei Liu
Research and Development Center, Gansu Tobacco Industrial Co., Ltd
Lanzhou, China
Search for this author on
Sciendo
|
Google Scholar
Liu, Guangwei
Mar 19, 2025
Applied Mathematics and Nonlinear Sciences
Volume 10 (2025): Issue 1 (January 2025)
About this article
Previous Article
Next Article
Abstract
Article
Figures & Tables
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Mar 19, 2025
Received:
Oct 02, 2024
Accepted:
Jan 29, 2025
DOI:
https://doi.org/10.2478/amns-2025-0481
Keywords
Data mining techniques
,
Tobacco composition
,
Chemical composition
,
Genetic algorithm
,
Tobacco rationing
© 2025 Xingliang Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
