| An adaptive neuro-fuzzy approach to bulk tobacco flue-curing control process | |
Wu, Juan1,2 ; Yang, Simon X.3; Tian, Fengchun1
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| 2017-03-12 | |
| 发表期刊 | DRYING TECHNOLOGY
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| ISSN | 0737-3937 |
| EISSN | 1532-2300 |
| 卷号 | 35期号:4页码:465-477 |
| 摘要 | Bulk tobacco flue-curing process significantly affects the quality and fragrance of cured tobacco leaves. The control of bulk tobacco flue-curing process is therefore quite important for tobacco industry. In this work, a neuro-fuzzy-based method for controlling bulk tobacco flue-curing process was proposed. In particular, an adaptive network-based fuzzy inference system (ANFIS) was developed to predict the set point changing time. To illustrate the applicability and capability of the ANFIS model, the proposed approach was tested with a bulk tobacco flue-curing barn database, which included totally 574 data sets obtained in the four curing cycles. The results demonstrated that the proposed approach could be applied successfully and provide high accuracy and reliability for bulk curing barns. Furthermore, to analyze how input factors affect the bulk tobacco flue-curing control process, the selection of input linguistic factors was also discussed. The factors of color and curing phase were found to have the most substantial influence on curing control process. A comparative study among the proposed neuro-fuzzy approach and other related methods was also performed. Both the statistical measures and visual assessment illustrated that the proposed ANFIS method outperformed the other methods in this study, which further showed the effectiveness and reliability of the neuro-fuzzy approach to bulk tobacco flue-curing control process. © 2017 Taylor & Francis. |
| 关键词 | Color Curing Farm buildings Flues Fuzzy neural networks Linguistics Statistical process control Tobacco Adaptive network based fuzzy inference system Adaptive neuro-fuzzy Comparative studies Curing process Curing schedule Neuro-Fuzzy Neuro-fuzzy approach Statistical measures |
| DOI | 10.1080/07373937.2016.1183211 |
| 收录类别 | EI ; SCIE |
| 语种 | 英语 |
| WOS研究方向 | Engineering |
| WOS类目 | Engineering, Chemical ; Engineering, Mechanical |
| WOS记录号 | WOS:000395170300006 |
| 出版者 | Bellwether Publishing, Ltd. |
| EI入藏号 | 20170803383022 |
| EI分类号 | 723.4 Artificial Intelligence ; 723.4.1 Expert Systems ; 731.1 Control Systems ; 741.1 Light/Optics ; 802.2 Chemical Reactions ; 821.4 Agricultural Products ; 821.6 Farm Buildings and Other Structures |
| 原始文献类型 | Journal article (JA) |
| 出版地 | PHILADELPHIA |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | https://ir.cqcet.edu.cn/handle/39TD4454/3088 |
| 专题 | 电子与物联网学院 |
| 作者单位 | 1.College of Communication Engineering, Chongqing University, Chongqing, China; 2.Chongqing College of Electronic Engineering, Chongqing, China; 3.Advanced Robotics and Intelligent Systems Laboratory, School of Engineering, University of Guelph, Guelph; ON, Canada |
| 第一作者单位 | 重庆电子科技职业大学 |
| 推荐引用方式 GB/T 7714 | Wu, Juan,Yang, Simon X.,Tian, Fengchun. An adaptive neuro-fuzzy approach to bulk tobacco flue-curing control process[J]. DRYING TECHNOLOGY,2017,35(4):465-477. |
| APA | Wu, Juan,Yang, Simon X.,&Tian, Fengchun.(2017).An adaptive neuro-fuzzy approach to bulk tobacco flue-curing control process.DRYING TECHNOLOGY,35(4),465-477. |
| MLA | Wu, Juan,et al."An adaptive neuro-fuzzy approach to bulk tobacco flue-curing control process".DRYING TECHNOLOGY 35.4(2017):465-477. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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