文献类型：期刊文章

作　　者：方柏山[1] 陈宏文[2] 谢晓兰[2] 万宁[2] 梅余霞[2] 胡宗定[1]

机构地区：[1]天津大学化工学院,天津300027 [2]华侨大学化工学院,泉州362011

出　　处：《生物工程学报》

基　　金：国家自然科学基金项目!( 2 97760 2 5 );福建省自然科学基金重点项目!(C960 68)资助

年　　份：2000

卷　　号：16

期　　号：5

起止页码：648-650

语　　种：中文

收录情况：AJ、BDHX、BDHX1996、CAS、CSA、CSA-PROQEUST、CSCD、CSCD2011_2012、EBSCO、EMBASE、IC、JST、PUBMED、RCCSE、SCOPUS、ZGKJHX、核心刊

摘　　要：Using genetic algorithms(GA)for medium optimization of xylitol fermentation,and coupling neural networks model for predicting xylitol concentration is introduced.The medium compose determinated by GA is as input data of the neural networks,while the output data predicted by neural networks is as suitable value of GA for predicting.The optimum medium is further validated by experimentation.The good result,which save the experimental workload and charge,enhance the level of xylitol fermentation as well as reduced the medium consume is obtained.

关 键 词：木糖醇 发酵 培养基优化 人工神经网络 遗传算法

分 类 号：TQ920.1]