神经网络优化中药提取工艺的研究

以三七皂甙为例,对利用神经网络优化中药提取工艺进行了研究。首先,在实验数据的基础上建立并优化了神经网络模型,通过比较两种不同提取工艺的模拟结果与实验结果,可以充分证明神经网络的适用性和可信性;然后,利用神经网络的预测能力,对乙醇回流提取工艺进行了优化,得到最佳工艺条件:乙醇浓度80%,乙醇用量150m l,回流时间11h,回流温度66℃,原料浸泡时间6h。该法不仅可以减少实验成本而且能够提供较为可信的最优工艺条件,具有一定的实用价值。

Optimizing the Extracting Technics of the Chinese Herbal Medicine by ANN

In this paper,optimization of the extracting technics of the Chinese herbal medicine by ANN(Artificial neural network)is studied.The experimental dates of extracting saponins is used.Firstly,the ANN model is designed and optimized.By comparing the simulating results with experimental values,the applicability and creditability of the method is proved.Then the ANN is used to optimize the technics of ethanol-reflux extraction.In the result,the optimal extracting conditions is obtained:ethanol concentration 80%,ethanol volume 150ml,reflux time 11h,reflux temperature 66℃,soakage time 6h.The method of ANN model can not only decrease the cost of research but get the applicable optimal conditions of the technics.