文献类型：期刊文献

中文题名：基于BP神经网络建立姬松茸多糖超滤分离模型

英文题名：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]

第一作者：叶晓

机构：[1]北京工业大学;[2]北京联合大学生物化学工程学院

第一机构：北京工业大学,北京100022

年份：2006

卷号：18

期号：9

起止页码：1120-1123

中文期刊名：化学研究与应用

外文期刊名：Chemical Research and Application

收录：CSTPCD;;北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

语种：中文

中文关键词：BP神经网络;姬松茸多糖;超滤分离;模型;Matlab

外文关键词：Back - propagation ANN; agaricus blazei murill polysaccharides; ultrafiltration separation ; moel; MATLAB

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%.