Dissertation > Excellent graduate degree dissertation topics show

Importance of the study of the physical and chemical indicators based on rough set theory Daqu

Author: TangLing
Tutor: ChengJian
School: University of Electronic Science and Technology
Course: Circuits and Systems
Keywords: Daqu quality Okuma physical and chemical indicators Rough Set Liquor flavor Attribute Importance
CLC: TS262.3
Type: Master's thesis
Year: 2011
Downloads: 57
Quote: 0
Read: Download Dissertation


Applied Research of Sichuan Provincial Education Department infrastructure projects on the basis of this article first discussed on the basis of rough set theory , rough set theory analysis method is applied to the identification of liquor flavor to discuss various low molecular weight organic acids , lipid species relationship between liquor flavor , and then discuss the relationship between the Okuma various physical and chemical indicators Daqu quality grade , the last of the the Okuma indicators and liquor yield and wine quality data fusion mining , reasoning Daqu indicators the key factors affect white wine quality and production parameters , to explore the importance of the various indicators of the influence of liquor quality and yield . The main content of this paper is as follows: 1 , the rough set theory analysis methods used in liquor flavor identification of each flavor Liquor low molecular weight organic acids , the lipid content analysis , go about the decision liquor flavor unnecessary ingredients ( attribute Reduction ) and an essential component of unnecessary ingredients value ( rule Reduction ) , a decision liquor flavor simplest ingredients and ingredient value expression , can determine the flavor of the liquor with less data : proposed a new method of analysis Daqu physical and chemical indicators Daqu quality relationship rough set theory , liquor force , the lipidated force , the aroma force ( including ammonia nitrogen and starch into force ) , caky bulk density , moisture Daqu quality and acidity of the seven evaluation indicators quantified and about less liquor force the starch into force and the acidity of the main indicators of the evaluation of the new song production in July , while the wine producing power , esterifying power and acidity evaluation 7 on the production , storage time to 30 days Daqu quality factors , also found that the quantitative relationship between these factors Daqu quality . 3, the rough set theory is applied to affect Daqu quality and production indicators of the importance factor analysis to establish the important factor in their weight Daqu physical and chemical indicators affecting the quality and yield of liquor : the esterifying power , acidity , saccharification is affected an important factor of the liquor quality , their weights were 25% , 25% , 50% ; the acidity , liquefied force and fermentation force an important factor affecting the liquor production , and its weight were 23% , 46.2% , 30.8% .

Related Dissertations

  1. Research on Clustering Algorithm Based on Genetic Algorithm and Rough Set Theory,TP18
  2. Incremental rough set attribute reduction,TP18
  3. Study on the Decision Tree Classification Algorithm and Its Application Based on Rough Set Theory,TP18
  4. Based on the core set of examples of attribute reduction method,O159
  5. Research on Image Segmentation Based on Rough Set Theory,TP391.41
  6. Research of Intrusion Detection Method Based on Rough Sets,TP393.08
  7. Application of Data Mining Based on Rough Set Theory in Time Series Analysis System,TN911.6
  8. Study and Implementation of Petrochemical Information Processing System Based on Rough Set,TP311.52
  9. The Model of Credit Risk Assessment in Power Industry Base on RS-SVM,F426.61;F203
  10. Research Into Responsibility Problems with Elimination of Poverty by Vocational Education in Rural Areas,S126
  11. Studies on Feature Selection Method Based on Heuristic Attribute Reduction of Rough Set,TP18
  12. The Research of Data Mining Method Based on Rough Set Theory,TP311.13
  13. The Research of Data Fusion Algorithm in Sensor Network,TP202
  14. On the Attrbute Reduction Approaches of Covering Decision System,TP18
  15. Research and Application of Rough Sets-Attribute Reduction on Power Market,TP18
  16. The Attribute Reduction Algorithms for Incomplete Information Systems,TP18
  17. The Research of Data Analysis Methods and Applications Based on Rough Set,TP18
  18. Research on Algorithm for Attribution Reduction and Computing Core Based on Simplified Discernibility Matrix,TP18
  19. Study on Covering Rough Sets and the Algorithm of Attribute Reduction,TP18
  20. Research on Some Key Technologies of Data Mining on Rough Set in Grid,TP311.13

CLC: > Industrial Technology > Light industry,handicrafts > Food Industry > Brewing industry > A variety of wine and its manufacturing > Liquor
© 2012 www.DissertationTopic.Net  Mobile