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CNKI期刊论文0611(288)
在“
Elsevier电子期刊
”中,
命中:
25,848
条,耗时:0.1439278 秒
在所有数据库中总计命中:
93,627
条
1.
Multi
ple sources and
multi
ple measures based traffic flow prediction using the chaos theory and support vector
regression
method
作者:
Anyu Cheng
a
;
Xiao Jiang
a
;
Yongfu Li
a
;
laf1212@163.com" class="auth_mail" title="E-mail the corresponding author
;
Chao Zhang
b
;
Hao Zhu
a
关键词:
Traffic flow
;
Chaos theory
;
Bayesian estimation theory
;
Support vector
regression
;
Phase space reconstruction
;
Multi
ple measures
刊名:Physica A: Statistical Mechanics and its Applications
出版年:2017
2.
Influences of environmental factors on Si-based photovoltaic modules after longtime outdoor exposure by
multi
ple
regression
analysis
作者:
Jakapan Chantana
;
jakapan@fc.ritsumei.ac.jp" class="auth_mail" title="E-mail the corresponding author
;
Aika Kamei
ro0002kf@ed.ritsumei.ac.jp" class="auth_mail" title="E-mail the corresponding author
;
Takashi Minemoto
minemoto@se.ritsumei.ac.jp" class="auth_mail" title="E-mail the corresponding author
关键词:
Multi
ple
regression
analysis
;
Standard partial
regression
coefficients
;
Outdoor performance
;
Environmental factors
;
Si-based photovoltaic modules
刊名:Renewable Energy
出版年:2017
3.
Interactions between cadmium and decabrominated diphenyl ether on blood cells count in rats—
Multi
ple factorial
regression
analysis
作者:
Marijana Curcic
a
;
makitox@pharmacy.bg.ac.rs
;
Aleksandra Buha
a
;
Sanja Stankovic
b
;
Vesna Milovanovic
c
;
Zorica Bulat
a
;
Danijela Đukić-Ćosić
a
;
Evica Antonijević
a
;
Slavica Vučinić
d
;
Vesna Matović
a
;
Biljana Antonijevic
a
关键词:
Cadmium
;
Decabrominated diphenyl ether
;
Interactions
;
Multi
ple factorial
regression
刊名:Toxicology
出版年:2017
4.
A
multi
-row deletion diagnostic for influential observations in small-sample
regression
s
作者:
Daniel T. Kaffine
a
;
daniel.kaffine@colorado.edu
;
Graham A. Davis
b
;
gdavis@mines.edu
关键词:
Regression
diagnostics
;
Multi
-row deletion
;
Inference
;
Influence points
;
Outliers
;
Growth
regression
s
;
Institutions
;
Resource curse
刊名:Computational Statistics & Data
Analysis
出版年:2017
5.
A globally enhanced general
regression
neural network for on-line
multi
ple emissions prediction of utility boiler
作者:
Jingge Song
a
;
Carlos E. Romero
b
;
Zheng Yao
b
;
zheng.yao@lehigh.edu
;
Boshu He
a
关键词:
General
regression
neural network
;
Gaussian adapted resonance theory
;
Wiggle-method
;
Extrapolation
;
On-line combustion modeling
;
Multi
ple emissions prediction
刊名:Knowledge-Based Systems
出版年:2017
6.
Probabilistic load flow calculation with quasi-Monte Carlo and
multi
ple linear
regression
作者:
Xiaoyuan Xu
;
xuxiaoyuansjtu@gmail.com
;
Zheng Yan
关键词:
ANOVA
;
analysis
of variation
;
CD
;
Cholesky decomposition
;
GA
;
genetic algorithm
;
IS
;
importance sampling
;
LDS
;
low-discrepancy sequence
;
LHS
;
Latin hypercube sampling
;
LSS
;
Latin supercube sampling
;
MCS
;
Monte Carlo simulation
;
MLR
;
multi
ple linear
regression
;
NORTA
;
normal to anything model
;
PLF
;
probabilistic load flow
;
QMC
;
quasi-Monte Carlo
;
RP
;
random permutation
;
SRS
;
simple random sampling
刊名:International Journal of Electrical Power & Energy Systems
出版年:2017
7.
Investigation on the influence of pectin structures on the pasting properties of rice starch by
multi
ple
regression
作者:
Shun-jing Luo
a
;
Rui-yun Chen
a
;
Li Huang
b
;
Rui-hong Liang
a
;
Cheng-mei Liu
a
;
Jun Chen
a
;
chen-jun1986@hotmail.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Rice starch
;
Pasting properties
;
Pectin
;
Structure
;
Multi
ple
regression
刊名:Food Hydrocolloids
出版年:2017
8.
Automated segmentation and area estimation of neural foramina with boundary
regression
model
作者:
Xiaoxu He
a
;
b
;
xhe244@uwo.ca
Author Vitae
;
Andrea Lum
a
;
b
Author Vitae
;
Manas Sharma
a
;
b
Author Vitae
;
Gary Brahm
a
;
b
Author Vitae
;
Ashley Mercado
a
;
b
Author Vitae
;
Shuo Li
a
;
b
;
slishuo@gmail.com
Author Vitae
关键词:
Automated segmentation
;
Area estimation
;
Neural foramina stenosis
;
Boundary
regression
model
;
Multi
ple output support vector
regression
;
Multi
ple kernel learning
刊名:Pattern Recognition
出版年:2017
9.
Discrimination of natural images and computer generated graphics based on
multi
-fractal and
regression
analysis
作者:
Fei Peng
a
;
eepengf@gmail.com
;
Die-lan Zhou
a
;
Min Long
b
;
Xing-ming Sun
c
关键词:
Digital image forensics
;
Image source identification
;
Multi
fractal
;
Regression
analysis
;
Natural images
;
Computer generated graphics
刊名:AEU - International Journal of Electronics and Communications
出版年:2017
10.
Analysis
and selection of a
regression
model for the Use Case Points method using a stepwise approach
作者:
Radek Silhavy
;
rsilhavy@fai.utb.cz
Author Vitae
;
Petr Silhavy
psilhavy@fai.utb.cz
Author Vitae
;
Zdenka Prokopova
prokopova@fai.utb.cz
Author Vitae
关键词:
Software size estimation
;
Stepwise approach
;
Multi
ple linear
regression
;
Use Case Points
;
Dataset
;
Variables
analysis
刊名:Journal of Systems and Software
出版年:2017
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