According to the traditional morphological classification divide the quality of traditional Chinese medicine Acanthopanax Senticosus Harms into recommended products non-recommended products and shoddy goods distribute the chromatogram data Acanthopanax Senticosus Harms obtained in the condition of standard inspect and abstract main data and get the great peaks of linear independent vectors. Get Acanthopanax Senticosus Harms every clustering centre data with liner reduction PSO and Conjugate gradient optimization. Make Acanthopanax Senticosus Harms criterion data as Gamma distribution and calculate similar by the sample data Normal distribution and ensure the finial similar by angle cosine. That will use lada integral and upper gauss interpolation. It need to calculate the similar between unknown sample and the common pattern of corresponding sample when analyze unknown sample. Make appraise classify and evaluate to unknown sample and make good identification to counterfeit medofenoxate for example gracilistylus koxmo hoo column5 plus fine.