Intelligent Algorithms for Tobacco-leaf Correlation Analysis

摘要

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.