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在“
Elsevier电子期刊
”中,
命中:
2,030
条,耗时:0.0350122 秒
在所有数据库中总计命中:
26,519
条
1.
Synchronization of discrete-time neural
network
s with delays and
Markov
jump topologies based on tracker information
作者:
Xinsong Yang
a
;
xinsongyang@163.com
;
Zhiguo Feng
a
;
scholarcqnu12@163.com
;
Jianwen Feng
b
;
fengjw@szu.edu.cn
;
Jinde Cao
c
;
jdcao@seu.edu.cn
关键词:
Discrete-time neural
network
s
;
Markov
jump coupling
;
Synchronization
;
Time-varying delay
刊名:Neural
Network
s
出版年:2017
2.
Decentralized event-triggered synchronization of uncertain
Markov
ian jumping neutral-type neural
network
s with mixed delays
作者:
Sibel Senan
a
;
ssenan@istanbul.edu.tr
;
M. Syed Ali
b
;
syedgru@gmail.com
;
R. Vadivel
b
;
vadivelsr@yahoo.com
;
Sabri Arik
a
;
arik@istanbul.edu.tr
关键词:
Event-triggered communication scheme
;
Lyapunov&ndash
;
Krasovskii functional
;
Markov
ian jumping
;
Neural
network
;
Synchronization
刊名:Neural
Network
s
出版年:2017
3.
Neural
network
implementation of inference on binary
Markov
random fields with probability coding
作者:
Zhaofei Yu
a
;
Feng Chen
;
a
;
b
;
chenfeng@mail.tsinghua.edu.cn
;
Jianwu Dong
a
关键词:
Markov
random fields
;
Approximate inference
;
Neural
network
implementation
;
Hopfield
network
;
Probability coding
刊名:Applied Mathematics and Computation
出版年:2017
4.
A game-theoretic power control mechanism based on hidden
Markov
model in cognitive wireless sensor
network
with imperfect information
作者:
Jiang Zhu
a
;
zhujiang@cqupt.edu.cn
Author Vitae
;
Dingde Jiang
b
;
jiangdd@mail.neu.edu.cn
Author Vitae
;
Shaowei Ba
a
Author Vitae
;
Yuping Zhang
a
Author Vitae
关键词:
Imperfect information
;
Hidden
Markov
;
Game-theoretic power control
;
Cognitive wireless sensor
network
s
刊名:Neurocomputing
出版年:2017
5.
Mean-square global exponential stability in Lagrange sense for delayed recurrent neural
network
s with
Markov
ian switching
作者:
Qiuxin Chen
a
Author Vitae
;
Lei Liu
a
;
liulei_hust@hhu.edu.cn
Author Vitae
;
Ailong Wu
b
Author Vitae
关键词:
Delayed recurrent neural
network
s
;
Mean-square exponentialstability
;
Lagrange stability
;
Global exponentialattractive
;
Markov
ian chain
;
M-matrix
刊名:Neurocomputing
出版年:2017
6.
Non-fragile mixed H
∞
and passive asynchronous state estimation for
Markov
jump neural
network
s with randomly occurring uncertainties and sensor nonlinearity
作者:
Shicheng HuoAuthor Vitae
;
Mengshen ChenAuthor Vitae
;
Hao Shen
;
haoshen10@gmail.com
Author Vitae
关键词:
Markov
jump neural
network
s
;
Randomly occurring uncertainties
;
Mixed H&infin
;
and passive asynchronous state estimation
;
Sensor nonlinearity
刊名:Neurocomputing
出版年:2017
7.
Threat evaluation of enemy air fighters via neural
network
-based
Markov
chain modeling
作者:
Hoyeop Lee
a
;
Byeong Ju Choi
a
;
Chang Ouk Kim
a
;
kimco@yonsei.ac.kr
;
Jin Soo Kim
b
;
Ji Eun Kim
b
关键词:
Threat evaluation
;
Target asset prediction
;
Markov
chain
;
Neural
network
;
Simulation
刊名:Knowledge-Based Systems
出版年:2017
8.
Reliability modeling and analysis of communication
network
s
作者:
Waqar Ahmed
a
;
waqar.ahmad@seecs.nust.edu.pk
;
Osman Hasan
a
;
osman.hasan@seecs.nust.edu.pk
;
Usman Pervez
a
;
usman.pervez@seecs.nust.edu.pk
;
Junaid Qadir
b
;
junaid.qadir@itu.edu.pk
关键词:
Reliability assessment
;
Communication
network
s
;
Reliability block diagrams (RBDs)
;
Fault tree
;
Markov
chain
;
Simulation tools
;
Formal methods
刊名:Journal of
Network
and Computer Applications
出版年:2017
9.
SAR Image segmentation based on convolutional-wavelet neural
network
and
markov
random field
作者:
Yiping Duan
a
;
b
Author Vitae
;
Fang Liu
a
;
b
;
f63liu@163.com
Author Vitae
;
Licheng Jiao
b
Author Vitae
;
Peng Zhao
a
;
b
Author Vitae
;
Lu Zhang
b
Author Vitae
关键词:
Convolutional Neural
Network
;
Wavelet transform
;
Markov
Random Filed
;
SAR image segmentation
刊名:Pattern Recognition
出版年:2017
10.
Scalable learning and inference in
Markov
logic
network
s
作者:
Zhengya Sun
;
zhengya.sun@ia.ac.cn
;
Yangyang Zhao
;
Zhuoyu Wei
;
Wensheng Zhang
;
Jue Wang
关键词:
Markov
logic
network
s
;
Structure learning
;
Probabilistic inference
;
Large scale machine learning
刊名:International Journal of Approximate Reasoning
出版年:2017
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