[Optimization of extraction process of compound Clematidis Radix spray by support vector machine].
L9 (3(4)) orthogonal experiment was used to design the extraction technology of compound Clematidis Radix spray. Weight coefficients of active ingredients and dry extract rate were solved by information entropy. Support vector machine (SVM) was established and the model parameters were optimized through the genetic algorithm. Grid search algorithm was used for optimization of extraction technology of Clematidis Radix spray. The optimal extraction technology was to extract Clematidis Radix spray in water with 6 times the weight of herbal medicine for 3 times, with 2 h once. Bias of value between real and predicted by SVM was 1.23%. SVM was compared with traditional intuitive analysis of orthogonal design. It indicates that the new method used to optimize the extraction parameters of compound Clematidis Radix spray is more accurate and reliable.
Li
L
Zhao
Hui
H
Li
Yi-fan
YF
Liu
Yan
Y
Fu
Yu-ling
YL
Liu
Xiao-li
XL
Zhang
D039324:Clematis / Q000737:chemistry*; D004365:Drugs, Chinese Herbal / Q000737:chemistry / Q000302:isolation & purification*; D018517:Plant Roots / Q000737:chemistry; D060388:Support Vector Machine; D013678:Technology, Pharmaceutical
D004365:Drugs, Chinese Herbal