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CNKI期刊论文0611(205)
在“
Elsevier电子期刊
”中,
命中:
22,188
条,耗时:0.1059507 秒
在所有数据库中总计命中:
65,887
条
1.
Multiple
sources and
multiple
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
;
Multiple
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
multiple
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:
Multiple
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—
Multiple
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
;
Multiple
factorial
regression
刊名:Toxicology
出版年:2017
4.
A globally enhanced general
regression
neural network for on-line
multiple
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
;
Multiple
emissions prediction
刊名:Knowledge-Based Systems
出版年:2017
5.
Probabilistic load flow calculation with quasi-Monte Carlo and
multiple
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
;
multiple
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
6.
Investigation on the influence of pectin structures on the pasting properties of rice starch by
multiple
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
;
Multiple
regression
刊名:Food Hydrocolloids
出版年:2017
7.
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
;
Multiple
linear
regression
;
Use Case Points
;
Dataset
;
Variables analysis
刊名:Journal of Systems and Software
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
;
Multiple
output support vector
regression
;
Multiple
kernel learning
刊名:Pattern Recognition
出版年:2017
9.
Prediction of geomechanical parameters using soft computing and
multiple
regression
approach
作者:
Rajesh Singh
a
;
georajeshsingh@gmail.com
;
Ravi Kumar Umrao
b
;
M. Ahmad
b
;
M.K. Ansari
b
;
L.K. Sharma
b
;
T.N. Singh
b
关键词:
Soft computing
;
Multiple
variable
regression
analysis
;
Adaptive neuro-fuzzy inference system
刊名:Measurement
出版年:2017
10.
Comparison of statistical
regression
and data-mining techniques in estimating soil water retention of tropical delta soils
作者:
Phuong M. Nguyen
a
;
b
;
MinhPhuong.Nguyen@ugent.be
;
nmphuong@ctu.edu.vn
;
Amir Haghverdi
c
;
amirh@ucr.edu
;
Jan de Pue
a
;
1
;
Jan.DePue@ugent.be
;
Yves-Dady Botula
d
;
ydbotula@yahoo.fr
;
Khoa V. Le
b
;
e
;
2
;
lvkhoa@ctu.edu.vn
;
Willem Waegeman
f
;
3
;
Willem.Waegeman@ugent.be
;
Wim M. Cornelis
a
;
1
;
Wim.Cornelis@ugent.be
关键词:
Pedotransfer functions
;
Tropical delta soils
;
Support vector machines
;
k-Nearest Neighbours
;
Multiple
linear
regression
;
Artificial neural networks
刊名:Biosystems Engineering
出版年:2017
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