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Error and attack tolerance of synchronization in Hindmarsh-Rose neural networks with community structure
Chun Hsien Li,
Suh Yuh Yang
數學系
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
7
引文 斯高帕斯(Scopus)
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深入研究「Error and attack tolerance of synchronization in Hindmarsh-Rose neural networks with community structure」主題。共同形成了獨特的指紋。
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Keyphrases
Neural Network
100%
Error Tolerance
100%
Networks with Community Structure
100%
Synchronizability
100%
Attack Tolerance
100%
Hindmarsh-Rose
100%
Community Networks
50%
Node Failure
33%
Number of Communities
33%
Intentional Attacks
33%
Network Model
16%
Network Topology
16%
Random Error
16%
Community Structure
16%
Eigenvector
16%
Betweenness Centrality
16%
Function Method
16%
Fixed Degree
16%
Hindmarsh-Rose Neuron
16%
Algebraic Connectivity
16%
Master Stability Function
16%
Centrality Measures
16%
Interacting Dynamical Systems
16%
Large Complex Networks
16%
Computer Science
Neural Network
100%
Network Community
100%
Network Topology
33%
Betweenness Centrality
33%
Complex Networks
33%
Eigenvector
33%
Betweenness
33%
Centrality Measure
33%
Dynamical System
33%