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
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;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614783
