...
首页> 外文期刊>Network Daily News >Investigators from Indian Institute of Technology Guwahati Target Artificial Neural Networks (Artificial Neural Network-based Modelling of Optimized Experimental Study of Xylanase Production By Penicillium Citrinum Xym2)
【24h】

Investigators from Indian Institute of Technology Guwahati Target Artificial Neural Networks (Artificial Neural Network-based Modelling of Optimized Experimental Study of Xylanase Production By Penicillium Citrinum Xym2)

机译:印度技术研究所的研究人员古瓦哈蒂目标人工神经网络(基于人工神经网络的基于人工神经网络的建模,对木烷酶生产的优化实验研究citchrinum xym2)

获取原文
获取原文并翻译 | 示例
           

摘要

By a News Reporter-Staff News Editor at Network Daily News – A new study on Artificial Neural Networks is now available. According to news reporting originating in Assam, India, by NewsRx journalists, research stated, “The industrial production of enzymes is generally optimized by one-factor-at-a-time (OFAT) approach. However, enzyme production by the method involves submerged or solid-state fermentation, which is laborious and time-consuming and it does not consider interactions among process variables.”
机译:由Network Daily News的新闻记者播放器新闻编辑编辑 - 现已提供有关人工神经网络的新研究。 根据NewsRX记者的起源于印度阿萨姆邦的新闻报道,研究指出:“酶的工业生产通常通过一次(OFAT)方法进行优化。 但是,该方法的酶产生涉及淹没或固态发酵,这是费力且耗时的,并且不考虑过程变量之间的相互作用。”

著录项

相似文献

  • 外文文献
  • 中文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号