基于BP神经网络建立姬松茸多糖超滤分离模型  

Uitrafiltration model of agaricus blazei murrill polysaccharides based on back-propagation ANN

作　　者：叶晓[1] 黄小葳[2] 俞军[2] 钟儒刚[1] 

机构地区：[1]北京工业大学,北京100022 [2]北京联合大学生物化学工程学院,北京100023

出　　处：《化学研究与应用》2006年第9期1120-1123,共4页Chemical Research and Application

摘　　要：The non-linear relations exist between the temperature,pressure,and concentration with the flux and retention coefficient of Agaricus Blazei Murill polysaccharide solution during ultrafiltration(UF) separation.The models of UF were built by back-propagation algorithm based on Neural Network Toolbox(NNT)of MATLAB.The parameters of model were discussed,such as the number of hidden layer node,learning method and learning rate.The results show that the network system was 3×13×1,and there is a good agreement between experimental data and modeled data with prediction precision 1.67% and 3.75%.The non- linear relations exist between the temperature, pressure, and concentration with the flux and retention coefficient of Agaricus Blazei MuriU polysaccharide solution during ultrafihration （UF） separation. The models of UF were built by hack -propagation algorithm based on Neural Network Toolbox（ NNT）of MATLAB. The parameters of model were discussed, such as the number of hidden layer node,learning method and learning rate. The results show that the network system was 3× 13×1 ,and there is a good agreement between experimental data and modeled data with prediction precision 1.67% and 3.75%.

关 键 词：BP神经网络 姬松茸多糖 超滤分离 模型 Matlab 

分 类 号：O6-39[理学—化学]