%0 Journal Article
%T Study of Immobilization of Aspergillus oryzar Mycelium Aided by Artifical Neural Network<br>人工神经网络在米曲霉菌体固定化研究中的应用
%A WANG Yan
%A ZHANG Feng
%A |Bao
%A {}
%A GAO Zhi
%A |Ming
%A SONG Zheng
%A |Xiao
%A ZHANG Guo
%A |Liang
%A ZHAO Lin
%A <br>王燕
%A 张凤宝
%A 高志明
%A 宋正孝
%A 张国亮
%A 赵林
%J 生物工程学报
%D 2002
%I 
%X Aspergillus oryzae\% mycelium pellets with abundant aminoacylase were cultured by liquid fermentation. Mycelium pellets were immobilized by crosslinking method with reagent of gelatin and formaldehyde. Basing on the orthogonal design table L\-\{16\}(4\+5), artificial neural network(ANN) model with back\|propagation(BP) of error structured 4\|10\|15\|1 was used to optimize the immobilization conditions. And the optimal conditions were obtained. Then the activity of the immobilized cells prepared under the optimal conditions was assayed. Compared with the free mycelium activity of 1800u, the residual activity rate was 83%, which was in good accordance with that predicted by ANN. It illustrated that artificial neural network can be used to find optimal conditions for cell immobilization.
%K artificial neural network
%K \%Aspergillus oryzae\% mycelium pellets
%K immobilization
%K crosslinking method<br>人工神经网络，
%K 米曲霉菌体，
%K 固定化，
%K 交联法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=A66E90C274451689E69F6F0291467824&aid=EBF396FF996BFC89&yid=C3ACC247184A22C1&vid=13553B2D12F347E8&iid=0B39A22176CE99FB&sid=78F0EFE028BD3783&eid=A1266CF37D675CF1&journal_id=1000-3061&journal_name=生物工程学报&referenced_num=1&reference_num=8