助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   灰色体系 在 无机化工 分类中 的翻译结果: 查询用时:0.087秒
图标索引 在分类学科中查询
所有学科
无机化工
化学
药学
有机化工
更多类别查询

图标索引 历史查询
 

灰色体系
相关语句
  gray system
    Quantitative Analysis of Gray System for the Spectra of Background and Analytes Severely Overlapped by Using pH Distribution-spectra
    pH分布-光谱法用于背景与待测物波谱严重重叠灰色体系的定量分析
短句来源
    The differences among components were increased because each component appears to be several species in an acid-base mixture. Based on the thesis of RBL, it has been achieved to use this information and introduce pH distribution-spectra information into quantitative analysis of gray system by combining numeric genetic algorithm. The result shows that for gray systems which the spectra of background and analytes severely overlaps the prediction accuracy for analytes is higher.
    本文基于残差双线性(RBL)的原理并结合数值遗传算法,充分利用这一信息,把pH分布-光谱两维信息引入灰色体系的定量分析中.结果表明,对于背景与待测物波谱严重重叠的体系,本法对待测组分预报有较高的准确度.
短句来源
  gray systems
    The differences among components were increased because each component appears to be several species in an acid-base mixture. Based on the thesis of RBL, it has been achieved to use this information and introduce pH distribution-spectra information into quantitative analysis of gray system by combining numeric genetic algorithm. The result shows that for gray systems which the spectra of background and analytes severely overlaps the prediction accuracy for analytes is higher.
    本文基于残差双线性(RBL)的原理并结合数值遗传算法,充分利用这一信息,把pH分布-光谱两维信息引入灰色体系的定量分析中.结果表明,对于背景与待测物波谱严重重叠的体系,本法对待测组分预报有较高的准确度.
短句来源
  gray system
    Quantitative Analysis of Gray System for the Spectra of Background and Analytes Severely Overlapped by Using pH Distribution-spectra
    pH分布-光谱法用于背景与待测物波谱严重重叠灰色体系的定量分析
短句来源
    The differences among components were increased because each component appears to be several species in an acid-base mixture. Based on the thesis of RBL, it has been achieved to use this information and introduce pH distribution-spectra information into quantitative analysis of gray system by combining numeric genetic algorithm. The result shows that for gray systems which the spectra of background and analytes severely overlaps the prediction accuracy for analytes is higher.
    本文基于残差双线性(RBL)的原理并结合数值遗传算法,充分利用这一信息,把pH分布-光谱两维信息引入灰色体系的定量分析中.结果表明,对于背景与待测物波谱严重重叠的体系,本法对待测组分预报有较高的准确度.
短句来源
查询“灰色体系”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
为了更好的帮助您理解掌握查询词或其译词在地道英语中的实际用法,我们为您准备了出自英文原文的大量英语例句,供您参考。
  gray system
A comprehensive assessing method based on the principle of the gray system theory and gray relational grade analysis was put forward to optimize water consumption forecasting models.
      
  gray system
A comprehensive assessing method based on the principle of the gray system theory and gray relational grade analysis was put forward to optimize water consumption forecasting models.
      


The differences among components were increased because each component appears to be several species in an acid-base mixture. Based on the thesis of RBL, it has been achieved to use this information and introduce pH distribution-spectra information into quantitative analysis of gray system by combining numeric genetic algorithm. The result shows that for gray systems which the spectra of background and analytes severely overlaps the prediction accuracy for analytes is higher.

本文基于残差双线性(RBL)的原理并结合数值遗传算法,充分利用这一信息,把pH分布-光谱两维信息引入灰色体系的定量分析中.结果表明,对于背景与待测物波谱严重重叠的体系,本法对待测组分预报有较高的准确度.

A sequential number-theoretic optimization(SNTO) method with the modification of contraction ratio and termination criterions is applied to quantitative analysis of multicomponent "grey" system by way of the constrained background bilinearization (CBBL) model. The result shows that SNTO is a global optimization method and it can save calculation time with such a modification.

将序贯数论优化法(SNTO),结合采用约束背景双线性化模型用于多组分“灰色”体系同时测定,且对SNTO的收缩比和收敛判据进行了改进。结构表明,SNTO法是一种实用的全局优化方法,收缩比和收敛判据的改进可大大缩短计算时间。

 
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关灰色体系的内容
在知识搜索中查有关灰色体系的内容
在数字搜索中查有关灰色体系的内容
在概念知识元中查有关灰色体系的内容
在学术趋势中查有关灰色体系的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社