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选用磷酸三丁酯和正辛醇组成的萃取剂络合萃取丁酸,利用BP 人工神经网络将萃取平衡分配系数和萃取操作条件——丁酸的初始浓度、磷酸三丁酯的体积分率以及温度进行了关联,建立了络合萃取平衡分配系数的神经网络模型,并用该模型预测了不同萃取条件对平衡分配系数的影响。结果表明:该模型不仅具有较高的计算精度,而且具有满意的预测能力,从而能够利用该模型来解决络合萃取过程中的实际问题。
Butyric acid was selected by extraction with tributyl phosphate and n-octanol. BP artificial neural network was used to extract the equilibrium partition coefficient and extraction operating conditions - the initial concentration of butyric acid, the volume fraction of tributyl phosphate, and the temperature , A neural network model was established for the equilibrium partition coefficient of complex extraction. The model was used to predict the effect of different extraction conditions on the equilibrium partition coefficient. The results show that this model not only has higher computational accuracy but also possesses satisfactory predictive ability, so that the model can be used to solve the practical problems in the process of complex extraction.