DocumentCode :
3682468
Title :
Modeling method of polysaccharide precipitation of Traditional Chinese medicine injection
Author :
Hongjun Duan;Zhenhe Ma;Shurong Zhu;Yong Shao
Author_Institution :
School of Control Engineering, Northeastern University at Qinhuangdao, Hebei Province, China
fYear :
2015
Firstpage :
147
Lastpage :
152
Abstract :
In this article, Traditional Chinese medicine Ophiopogon japonicus was the study object, the precipitation process model of Ophiopogon japonicus polysaccharide based on BP neural network algorithm was established according to the measured data. The principle of BP neural network and the feature of selecting model parameters were introduced, and the improved BP algorithm was proposed. After analyzing the precipitation process of Ophiopogon japonicus polysaccharide, the model parameters of polysaccharide precipitation process were determinimaled, and then the neural network model was established. At the last, the simulation results were analyzed, the model meets control requirements.
Keywords :
"Training","Biological neural networks","Data models","Mathematical model","Analytical models","Convergence"
Publisher :
ieee
Conference_Titel :
Awareness Science and Technology (iCAST), 2015 IEEE 7th International Conference on
Type :
conf
DOI :
10.1109/ICAwST.2015.7314037
Filename :
7314037
Link To Document :
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