DocumentCode
1564933
Title
Intelligent Algorithms for Tobacco-leaf Correlation Analysis
Author
Song, Xue-Yan ; Hu, Rui ; Feng, Tian-Jin ; Ding, Xiang-Qian ; He, Ying
Author_Institution
ETSONG Tobacco Co. Ltd., Qingdao
Volume
2
fYear
2005
Firstpage
980
Lastpage
984
Abstract
Directing against the data environment with complicated relations and few data of tobacco industry, we introduce intelligent algorithms as support vector machine (SVM), M5´ model tree and information diffusion technique, to the tobacco-leaf correlation analysis, and combine them with traditional analytical method. Experiment result indicates the efficiency
Keywords
correlation methods; decision trees; production engineering computing; support vector machines; tobacco industry; M5 model tree; information diffusion technique; intelligent algorithm; support vector machine; tobacco industry; tobacco-leaf correlation analysis; Algorithm design and analysis; Appraisal; Chemical analysis; Chemical industry; Chemical processes; Data engineering; Helium; Information analysis; Support vector machines; Testing; Information Diffusion Technique; M5´ model tree; Support Vector Machine; tobacco-leaf correlation analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9422-4
Type
conf
DOI
10.1109/ICNNB.2005.1614783
Filename
1614783
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