首页> Bioresource Technology: Biomass, Bioenergy, Biowastes, Conversion Technologies, Biotransformations, Production Technologies> Optimization of cultural conditions using response surface methodology versus artificial neural network and modeling of l-glutaminase production by Bacillus cereus MTCC 1305

Optimization of cultural conditions using response surface methodology versus artificial neural network and modeling of l-glutaminase production by Bacillus cereus MTCC 1305

导出原文传递

翻译打印收藏纠错

作者： Singh, P. ^[1] ; Shera, S.S. ^[2] ; Banik, J. ; Banik, R.M.

作者单位： School of Biochemical Engineering, Indian Institute of Technology (BHU), Varanasi, India ^[1] Department of Computer Science and Engineering, Institute of Engineering and Management, Kolkata, India ^[2]

关键词 Artificial neural network Bacillus cereus Kinetic modeling L-Glutaminase Response surface methodology

发布时间 2013-11-20

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览1

Bioresource Technology

2013年137卷

261-269页

相似文献

中文期刊
外文期刊
学位论文
会议论文

浏览1

点击下载本期目录封面

Bioresource Technology

2013年137卷

261-269页

检索历史清除

Optimization of cultural conditions using response surface methodology versus artificial neural network and modeling of l-glutaminase production by Bacillus cereus MTCC 1305

Bioresource Technology

相似文献

Bioresource Technology

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Optimization of cultural conditions using response surface methodology versus artificial neural network and modeling of l-glutaminase production by Bacillus cereus MTCC 1305

Bioresource Technology

相似文献

Bioresource Technology

相关期刊

检索历史清除