基于粗糙集与SVM骨性关节炎复方中药功效分析研究

Analysis for Chinese medicine efficacy of osteoarthritis compound based on rough set and SVM

提出用粗糙集理论对中药样本进行属性约简,接着基于单核函数的局限性,构造混合核SVM中药功效分类器,预测骨性关节炎中药复方中药物的功效.经中医理论知识验证,分类精度高且合理.结合了粗糙集理论消除冗余属性,减少了原始支持向量机的运算量,提高了模型的识别性能.

The paper used the theory of rough set to reduce the attributes of the traditional Chinese medicine samples,and then build a classifier for Chinese medicine efficacy based on mixed kernel SVM to predict the efficacy of osteoarthritis compound drugs,while single kernels have defects.Verified by the traditional Chinese medicine theory,the result of the classification is accurate and reasonable.In the paper,under the help of rough set to remove redundant attributes is not only to reduce the calculation of original SVM,but also to improve the recognition performance of the model.