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.
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.
出处
《生物工程学报》
CAS
CSCD
北大核心
2000年第5期648-650,共3页
Chinese Journal of Biotechnology
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
关键词
木糖醇
发酵
培养基优化
人工神经网络
遗传算法
Xylitol fermentation,medium optimization,neural networks,genetic algorithms
