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在“
Elsevier电子期刊
”中,
命中:
283
条,耗时:0.1818769 秒
在所有数据库中总计命中:
38,736
条
1.
A safe
control
scheme under the abnormity for the thickening
process
of gold hydrometallurgy based on
Bayesian
network
作者:
Hui Li
lihui_neu@163.com
;
Fuli Wang
;
wangfuli_neu@163.com
;
Hongru Li
lihongru@ise.neu.edu.cn
关键词:
Safe
control
scheme
;
Abnormity analysis
;
Bayesian
network
;
Thickening
process
;
Gold hydrometallurgy
刊名:Knowledge-Based Systems
出版年:2017
2.
New indices for the evaluation of the statistical properties of
Bayesian
control
charts for short runs
作者:
Yiannis Nikolaidis
a
;
nikolai@uom.edu.gr
;
George Tagaras
b
;
tagaras@auth.gr
关键词:
Quality management
;
Statistical
process
control
;
Adaptive &ndash
;
Bayesian
control
charts
;
Economic design
;
Statistical properties
刊名:European Journal of Operational Research
出版年:2017
3.
Quantification of cohesive fracture parameters based on the coupling of
Bayesian
updating and the boundary element method
作者:
Sergio Gustavo Ferreira Cordeiro
a
;
;
Edson Denner Leonel
a
;
Pierre Beaurepaire
b
;
c
关键词:
Stochastic concrete fracture
;
Bayesian
updating
;
Nonlinear fracture mechanics
;
Boundary element method
刊名:Engineering Analysis with Boundary Elements
出版年:2017
4.
Training response inhibition to reduce food consumption: Mechanisms, stimulus specificity and appropriate training protocols
作者:
Rachel C. Adams
a
;
adamsrc1@cardiff.ac.uk
;
Natalia S. Lawrence
a
;
b
;
Natalia.Lawrence@exeter.ac.uk
;
Frederick Verbruggen
b
;
F.L.J.Verbruggen@exeter.ac.uk
;
Christopher D. Chambers
a
;
Chambersc1@cardiff.ac.uk
关键词:
Response inhibition
;
Cognitive training
;
Food intake
;
Dietary restraint
;
Implicit attitudes
刊名:Appetite
出版年:2017
5.
Process
control
using finite Markov chains with iterative clustering
作者:
Enso Ikonen
;
Enso.Ikonen@oulu.fi" class="auth_mail" title="E-mail the corresponding author
;
Istvá
;
n Selek
;
Kaddour Najim
关键词:
Markov decision
process
es
;
Bayesian
state estimation
;
Model-based
process
control
;
Model predictive
control
;
Clustering
;
Process
simulation
刊名:Computers & Chemical Engineering
出版年:2016
6.
Distributed monitoring for large-scale
process
es based on multivariate statistical analysis and
Bayesian
method
作者:
Qingchao Jiang
;
Biao Huang
;
biao.huang@ualberta.ca" class="auth_mail" title="E-mail the corresponding author
关键词:
Distributed monitoring
;
Multivariate statistical analysis
;
Large-scale
process
;
Bayesian
method
刊名:Journal of
Process
Control
出版年:2016
7.
Bayesian
robust linear dynamic system approach for dynamic
process
monitoring
作者:
Jinlin Zhu
;
Zhiqiang Ge
;
gezhiqiang@zju.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Zhihuan Song
关键词:
Robust linear dynamic system
;
Variational
Bayesian
method
;
Kalman filter
;
Student's t-distribution
;
Fault detection
刊名:Journal of
Process
Control
出版年:2016
8.
Economic design of multivariate
Bayesian
control
chart with two sampling intervals
作者:
Farnoosh Naderkhani
Farnoosh@mie.utoronto.ca" class="auth_mail" title="E-mail the corresponding author
;
Viliam Makis
;
makis@mie.utoronto.ca" class="auth_mail" title="E-mail the corresponding author
关键词:
Bayesian
control
chart
;
Two sampling intervals
;
Semi-Markov decision
process
;
Posterior probability
;
Economic design
;
Quality
control
刊名:International Journal of Production Economics
出版年:2016
9.
Multivariate probabilistic safety analysis of
process
facilities using the Copula
Bayesian
Network model
作者:
Seyed Javad Hashemi
;
Faisal Khan
;
fikhan@mun.ca" class="auth_mail" title="E-mail the corresponding author
;
Salim Ahmed
关键词:
Correlation
;
Dependence structure
;
Multivariate probabilistic model
;
Akaike&rsquo
;
s information criterion
刊名:Computers & Chemical Engineering
出版年:2016
10.
Using litter chemistry
control
s on microbial
process
es to partition litter carbon fluxes with the Litter Decomposition and Leaching (LIDEL) model
作者:
Eleanor E. Campbell
a
;
nell.campbell@colostate.edu" class="auth_mail" title="E-mail the corresponding author
;
William J. Parton
a
;
Jennifer L. Soong
a
;
1
;
Keith Paustian
a
;
b
;
N. Thompson Hobbs
a
;
c
;
M. Francesca Cotrufo
a
;
b
关键词:
Litter decomposition model
;
Leaching model
;
Microbial carbon use efficiency
;
Hierarchical
Bayesian
modeling
;
Lignocellulose
;
Nitrogen
刊名:Soil Biology & Biochemistry
出版年:2016
1
2
3
4
5
6
7
8
9
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