Ramulus Cinnamomi Intelligence Quality Assessment Based on Knowledge Reduction

摘要

According to the traditional morphological classification divide the quality of traditional Chinese medicine Ramulus Cinnamomi into first grade and second grade. Disperse the chromatogram data Ramulus Cinnamomi obtained by criterion inspect and make knowledge reduction. Then it will get the largest liner irrespective vector group. It will get every clustering centre data of Ramulus Cinnamomi with adaptive weight PSO and POWELL optimization. Make the criterion data of Ramulus Cinnamomi as Weibull distribution and make the sample as Normal distribution to calculate similar and ensure the finial similar with similarity ratio. It used lobato integral and Hermite interpolation. This investigation makes good evaluation to the Ramulus Cinnamomi in Guangdong Guangxi Yunnan and Vietnam and high delicacy and anti-jamming.