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Method for establishing mixed expert system of maintaining cigarette leaf group formulation

A leaf group formula, mixing expert technology, applied in the fields of tobacco, tobacco preparation, application, etc., can solve the problems of not guaranteeing the fluctuation range of the new leaf group, unable to fully balance the sensory evaluation and smoke analysis, etc.

Inactive Publication Date: 2004-09-01
OCEAN UNIV OF CHINA +1
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Problems solved by technology

Since tobacco leaves contain thousands of chemical components, and in the process of smoking, many chemical components interact to stimulate people's sense of taste, smell, touch, and produce various indicators of sensory evaluation. The relationship is extremely complicated and can only be judged by human experience. , Considering a few factors such as region and fragrance style, it is impossible to fully balance the indicators of sensory evaluation (that is, sensory test) and smoke analysis, and it cannot be guaranteed that these two quality indicators of the new leaf group will not exceed the standard leaf group maintenance. Allowable fluctuation range

Method used

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  • Method for establishing mixed expert system of maintaining cigarette leaf group formulation
  • Method for establishing mixed expert system of maintaining cigarette leaf group formulation
  • Method for establishing mixed expert system of maintaining cigarette leaf group formulation

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Embodiment Construction

[0018] The process of the present invention for establishing the intelligent leaf group formula maintenance system is as follows: figure 1 and 3 As shown, the steps are as follows:

[0019] (1) First, the sample data is grouped by style according to the experience of industry experts, and then according to the physical and chemical analysis (including gas chromatography analysis), sensory evaluation (sensory test) and smoke analysis index data of the tobacco leaves in each group, self-organization through the Kohonen network Clustering to obtain multi-category tobacco leaf collections;

[0020] (2) Select the name of the leaf group formula to be maintained, and inquire about the tobacco leaf composition of the original leaf group;

[0021] (3) According to production needs, determine the tobacco leaves to be replaced in the leaf group, read the information of each set to which each replaced tobacco leaf belongs, and recommend it to the user. On this basis, the user selects ...

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Abstract

The invention relates to a method for establishing the mixed expert system for cigarette leaves set formula maintenance, by integrating neural net expert system, genetic algorithm with the traditional expert system method, intelligent system for standard leaves formula maintenance is established, at last, several groups of schemes meeting the formula maintenance are recommended. The method can effectively realize the standard formula maintenance for leaves set and improve the cigarette quality stability.

Description

technical field [0001] The invention relates to a method for establishing an intelligent formula maintenance system, specifically combining self-organizing feature mapping network, evolutionary calculation global optimization method, neural network expert system method and industry expert experience to establish a mixed expert for cigarette leaf group formula maintenance systematic approach. Background technique [0002] In the maintenance of the cigarette leaf group formula, industry experts are concerned about which substitute tobacco leaves and unsubstituted tobacco leaves form a new leaf group, which can still maintain the style, sensory quality and smoke content indicators of the original standard leaf group. That is, knowing the similarity between leaves or combinations of leaf groups within a small range. Since tobacco leaves contain thousands of chemical components, and during the smoking process, many chemical components interact to stimulate people's sense of tast...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A24B3/08
Inventor 丁香乾王现君冯天瑾盛志艺曹均阔徐海涛贺英李晓任立新吕健
Owner OCEAN UNIV OF CHINA
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