Abstract
To solve the problems on determining comprehensive level of pipe tobacco technology via pipe tobacco quality, equipment operation and production consumption, the Fuzzy comprehensive and neural network evaluation models were built based on analytic hierarchy process, linear projection method. The modeling results of the three groups based on the mass coefficient and cutting material condition from September to December indicated that neural network evaluation model could not only verify the rationality and accuracy of multi-factor fuzzy comprehensive evaluation model, but also could independently determine the comprehensive level of pipe tobacco technology. It not only offers scientific evidence to improve production levels of pipe tobacco, but also provides support to find negetive factors in process quality, equipment operation and production consumption by combing with the two methods.
Publication Date
5-28-2017
First Page
204
Last Page
210
DOI
10.13652/j.issn.1003-5788.2017.05.041
Recommended Citation
Xiaojuan, WANG
(2017)
"Application of fuzzy comprehensive and Neural network evaluation models on tobacco primary processing line quality,"
Food and Machinery: Vol. 33:
Iss.
5, Article 41.
DOI: 10.13652/j.issn.1003-5788.2017.05.041
Available at:
https://www.ifoodmm.cn/journal/vol33/iss5/41
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