According to the traditional morphological classification, the Rhizoma Chuanxiong quality of traditional chinese medicine is divided into recommended products and non-recommended products; the chromatogram data of Rhizoma Chuanxiong are obtained in the standard condition, we inspect and abstract main data, get the main peaks of linear independent vectors. Get every clustering the most likely data of Rhizoma Chuanxiong with Particle Swarm Optimization of synchronous learning factor and Rosenbrock method of Optimization. Make Rhizoma Chuanxiong criterion data as grey-whitened Gumbel distribution and calculate similarity with the sample data of Gumbel distribution and ensure the finial similarity by weighted average. The program will use Simpson double integra and B-spline interpolation. It need to calculate the similarity between unknown sample and the common pattern of corresponding standard sample when analyze unknown sample. This research combines the plant morphology, chemistry, statistics and calculating technology establishing the pattern identification methods of quality, have good attempt to traditional chinese medicine quality assessment methods and make a basic to the deeper research about Rhizoma Chuanxiong in theory and practice.
Methodological quality assessment for traditional Chinese medicine: CONSORT is better
