中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
兰州化学物理研究所 [3]
长春光学精密机械与物... [2]
成都山地灾害与环境研... [1]
中国科学院大学 [1]
自动化研究所 [1]
广州能源研究所 [1]
更多
采集方式
OAI收割 [10]
iSwitch采集 [1]
内容类型
期刊论文 [8]
会议论文 [2]
学位论文 [1]
发表日期
2024 [1]
2021 [1]
2020 [2]
2013 [1]
2011 [1]
2008 [3]
更多
学科主题
分析化学与药物化学 [2]
液相色谱及相关技术 [1]
筛选
浏览/检索结果:
共11条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
On the Equivalence of Linear Discriminant Analysis and Least Squares Regression
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 卷号: 35, 期号: 4, 页码: 5710-5720
作者:
Nie, Feiping
;
Chen, Hong
;
Xiang, Shiming
;
Zhang, Changshui
;
Yan, Shuicheng
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2024/07/04
Eigenvalues and eigenfunctions
Principal component analysis
Null space
Training data
Symmetric matrices
Sun
Optimization
Least squares regression (LSR)
linear discriminant analysis (LDA)
linear regression
minimum distance classifier (MDC)
null space LDA
Biochemical methane potential prediction for mixed feedstocks of straw and manure in anaerobic co-digestion
期刊论文
OAI收割
BIORESOURCE TECHNOLOGY, 2021, 卷号: 326, 页码: 10
作者:
Yang, Gaixiu
;
Li, Ying
;
Zhen, Feng
;
Xu, Yonghua
;
Liu, Jinming
  |  
收藏
  |  
浏览/下载:68/0
  |  
提交时间:2021/10/27
Anaerobic co-digestion
Biochemical methane potential
Multivariate linear regression
Partial least squares
Near-infrared spectroscopy
Supervised Dimensionality Reduction Methods via Recursive Regression
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3269-3279
作者:
Liu, Yun
;
Zhang, Rui
;
Nie, Feiping
;
Li, Xuelong
;
Ding, Chris
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2020/10/23
Dimensionality reduction
Linear discriminant analysis
Eigenvalues and eigenfunctions
Learning systems
Computer science
Optical imaging
Optics
Optimal scaling (OS)
orthogonal least squares regression (OLSR)
orthogonal linear discriminant analysis (OLDA)
recursive regression
supervised dimensionality reduction
Estimating purple-soil moisture content using Vis-NIR spectroscopy
期刊论文
OAI收割
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 9, 页码: 2214-2223
作者:
Gou, Yu
;
Wie, Jie
;
Li, Jin-lin
;
Han, Chen
;
Tu, Qing-yan
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2020/11/24
Purple soil
Soil moisture
Vis-NIR spectroscopy
Stepwise multiple linear regression
Partial least squares regression
基于组合线性最小二乘回归的盲定量隐写分析
期刊论文
OAI收割
计算机应用与软件, 2013, 卷号: 30, 期号: 8, 页码: 1-3,8
张纪宇
;
赵险峰
;
黄炜
;
盛任农
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2014/12/16
高维特征
盲定量隐写分析
组合回归
LLSR
High-dimensional feature
Blind quantitative steganalysis
Ensemble regression
Linear least squares regression
Determination of Petroleum Mono and Disulfonates by Ion Chromatography Coupled with Weighted Least Squares Linear Regression
期刊论文
OAI收割
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2011, 卷号: 33, 页码: 1883-1888
作者:
Jiang SX(蒋生祥)
;
Wang S(王帅)
;
Liu X(刘霞)
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2012/10/18
determination
ion chromatography
petroleum disulfonate
petroleum monosulfonate
weighted least squares linear regression
Analysis of three flavonoids in oxytropis kansuensis bunge by rp-lc-dad coupled with weighted least-squares linear regression
期刊论文
iSwitch采集
Chromatographia, 2008, 卷号: 68, 期号: 9-10, 页码: 773-779
作者:
Li, Chen
;
Liu, Junxi
;
Di, Duolong
;
Jiang, Shengxiang
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2019/05/10
Column liquid chromatography
Reversed phase
Oxytropis kansuensis bunge
Flavonoid
Weighted least-squares linear regression
植物黄酮类化合物的分离分析方法研究
学位论文
OAI收割
博士: 中国科学院研究生院, 2008
罗米娜
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2013/04/27
独一味
高效液相色谱法
毛细管电泳法
大体积进样
在线富集
加权最小平方线性回归
Lamiophlomis rotata (Benth.) Kudo
High performance liquid chromatography
Large volume sample stacking
On-line concentration
Weighted least squares linear regression
Analysis of Three Flavonoids in Oxytropis kansuensis Bunge by RP-LC–DAD Coupled with Weighted Least-Squares Linear Regression
期刊论文
OAI收割
Chromatogr-aphia, 2008, 卷号: 68, 页码: 773-779
作者:
Di DL(邸多隆)
;
Jiang SX(蒋生祥)
;
Liu JX(柳军玺)
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2012/10/11
Column liquid chromatography
Reversed phase
Oxytropis kansuensis Bunge
Flavonoid
Weighted least-squares linear regression
The study on the near infrared spectrum technology of sauce component analysis (EI CONFERENCE)
会议论文
OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:
Li S.
;
Wang C.
;
Chen X.
;
Chen X.
;
Chen X.
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2013/03/25
The author
Shangyu Li
engages in supervising and inspecting the quality of products. In soy sauce manufacturing
quality control of intermediate and final products by many components such as total nitrogen
saltless soluble solids
nitrogen of amino acids and total acid is demanded. Wet chemistry analytical methods need much labor and time for these analyses. In order to compensate for this problem
we used near infrared spectroscopy technology to measure the chemical-composition of soy sauce. In the course of the work
a certain amount of soy sauce was collected and was analyzed by wet chemistry analytical methods. The soy sauce was scanned by two kinds of the spectrometer
the Fourier Transform near infrared spectrometer (FT-NIR spectrometer) and the filter near infrared spectroscopy analyzer. The near infrared spectroscopy of soy sauce was calibrated with the components of wet chemistry methods by partial least squares regression and stepwise multiple linear regression. The contents of saltless soluble solids
total nitrogen
total acid and nitrogen of amino acids were predicted by cross validation. The results are compared with the wet chemistry analytical methods. The correlation coefficient and root-mean-square error of prediction (RMSEP) in the better prediction run were found to be 0.961 and 0.206 for total nitrogen
0.913 and 1.215 for saltless soluble solids
0.855 and 0.199 nitrogen of amino acids
0.966 and 0.231 for total acid
respectively. The results presented here demonstrate that the NIR spectroscopy technology is promising for fast and reliable determination of major components of soy sauce.