Title :
Intelligent technology for Correlation Analysis of Tar in Tobacco
Author :
Ma, Lin Tao ; Ding, Xiang Qian ; Yang, Ning ; Gong, Hui Li
Author_Institution :
Inf. Eng. Center, Ocean Univ. of China, Qingdao
Abstract :
Smoking is harmful to our health, and tar is one of the main substance should be paid attention to. We can greatly reduce serious risks to human health by finding the correlation between chemical elements in tobacco leaf and tar. We introduce intelligent algorithms as support vector machine (SVM), M5´ model tree, information diffusion technique and PCA, to do the correlation analysis, and combine them with traditional analytical method. Experiment results indicate the efficiency
Keywords :
artificial intelligence; chemical engineering computing; diffusion; principal component analysis; support vector machines; tobacco industry; M5 model tree; chemical elements; correlation analysis; human health; information diffusion; intelligent technology; principal component analysis; support vector machine; tobacco leaf; tobacco tar; Algorithm design and analysis; Chemical analysis; Computational intelligence; Data analysis; Information analysis; Marine technology; Oceans; Principal component analysis; Support vector machines; Systems engineering and theory; Correlation Analysis; Information Diffusion Technique; M5´ model tree; Support Vector Machine;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.4281881
