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在“
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”中,
命中:
10,334
条,耗时:0.1179432 秒
在所有数据库中总计命中:
21,027
条
1.
Evolutionary link community
structure
discovery in dynamic weighted
networks
作者:
Qiang Liu
a
;
liuqiang1981@nudt.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Caihong Liu
b
;
c
;
Jiajia Wang
d
;
Xiang Wang
a
;
Bin Zhou
a
;
e
;
Peng Zou
a
关键词:
Link community
structure
;
Dynamic
networks
;
Weighted
networks
;
Community evolution
刊名:Physica A: Statistical Mechanics and its Applications
出版年:2017
2.
Complex
networks
, community
structure
, and catchment classification in a large-scale river basin
作者:
Koren Fang
a
;
Bellie Sivakumar
a
;
b
;
s.bellie@unsw.edu.au
;
sbellie@ucdavis.edu
;
Fitsum M. Woldemeskel
a
关键词:
Catchment classification
;
Complex
networks
;
Community
structure
;
Streamflow
;
Correlation threshold
;
Mississippi River basin
刊名:Journal of Hydrology
出版年:2017
3.
Detecting community
structure
in complex
networks
using an interaction optimization process
作者:
Paul Kim
;
Sangwook Kim
;
kimsw@knu.ac.kr" class="auth_mail" title="E-mail the corresponding author
关键词:
Community detection
;
Interaction-based community
;
Interaction optimization process
;
Network
structure
analysis
;
Complex
networks
刊名:Physica A: Statistical Mechanics and its Applications
出版年:2017
4.
Protein secondary
structure
prediction by using deep learning method
作者:
Yangxu Wang
mellowxu@gmail.com
;
Hua Mao
;
huamao@scu.edu.cn
;
Zhang Yi
zhangyi@scu.edu.cn
关键词:
Deep learning
;
Secondary
structure
prediction
;
Encoder&ndash
;
decoder
networks
;
Recurrent neural
networks
刊名:Knowledge-Based Systems
出版年:2017
5.
Metacommunity
structure
of zooplankton in river
networks
: Roles of environmental and spatial factors
作者:
Kun Zhao
a
;
Kun Song
a
;
d
;
Yangdong Pan
b
;
Lizhu Wang
f
;
Liangjun Da
a
;
d
;
e
;
ljda@des.ecnu.edu.cn
;
Quanxi Wang
c
;
wangqx@shnu.edu.cn
关键词:
Dispersal
;
River connectivity and directionality
;
Zooplankton metacommunity
structure
;
Dams
;
Variation partitioning
刊名:Ecological Indicators
出版年:2017
6.
Learning gene regulatory
networks
from gene expression data using weighted consensus
作者:
Chisato Fujii
a
;
1
Author Vitae
;
Hiroyuki Kuwahara
a
;
1
Author Vitae
;
Ge Yu
b
Author Vitae
;
Lili Guo
b
Author Vitae
;
Xin Gao
a
;
xin.gao@kaust.edu.sa
Author Vitae
关键词:
Gene regulatory
networks
;
Gene expression
;
Consensus
;
Structure
learning
刊名:Neurocomputing
出版年:2017
7.
Quantitative
structure
-retention relationship model for the determination of naratriptan hydrochloride and its impurities based on artificial neural
networks
coupled with genetic algorithm
作者:
Mikołaj Mizera
a
;
Anna Krause
b
;
Przemysław Zalewski
a
;
Robert Skibiński
c
;
Judyta Cielecka-Piontek
a
;
jpiontek@ump.edu.pl
关键词:
Qualitative
structure
retention relationship (QSRR)
;
Artificial neutral
networks
;
Genetic algorithm
;
Naratriptan hydrochloride
;
Sumatriptan succinate
;
Related products chromatographic separation
刊名:Talanta
出版年:2017
8.
Epidemic spreading on dual-
structure
networks
with mobile agents
作者:
Yiyang Yao
b
;
1
;
Yinzuo Zhou
a
;
1
;
zhouyinzuo@163.com
关键词:
Epidemic spreading
;
SIRS model
;
Dual social
structure
刊名:Physica A: Statistical Mechanics and its Applications
出版年:2017
9.
Prediction of heat capacities of ionic liquids using chemical
structure
based
networks
作者:
Ali Barati-Harooni
a
;
alibarati.2012@yahoo.com
;
Adel Najafi-Marghmaleki
a
;
Amir H Mohammadi
b
;
c
;
d
;
a.h.m@irgcp.fr
;
amir_h_mohammadi@yahoo.com
关键词:
Ionic liquid (IL)
;
Heat capacity
;
Chemical
structure
;
Model
;
Radial basis function neural network (RBF-NN)
;
Multilayer Perceptron Neural Network (MLP-NN)
刊名:Journal of Molecular Liquids
出版年:2017
10.
CoFIM: A community-based framework for influence maximization on large-scale
networks
作者:
Jiaxing Shang
;
a
;
b
;
shangjx@cqu.edu.cn
;
Shangbo Zhou
a
;
b
;
Xin Li
c
;
Lianchen Liu
d
;
Hongchun Wu
a
;
b
关键词:
Influence maximization
;
Community
structure
;
Large-scale
networks
;
Diffusion model
;
Computational complexity
刊名:Knowledge-Based Systems
出版年:2017
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