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Volumn 69, Issue 4 2, 2004, Pages

Performance of networks of artificial neurons: The role of clustering

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; HAMILTONIANS; MATHEMATICAL MODELS; MONTE CARLO METHODS; NEUROLOGY; PATTERN RECOGNITION;

EID: 37649026785     PISSN: 15393755     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (99)

References (52)
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    • Details will be reported elsewhere
    • Details will be reported elsewhere.
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    • note
    • In the original WS network, the use of higher P reduces the clustering coefficient [1]. Consequently, both rewiring and edge exchange can be used to enhance the performance of Hopfield model on the WS network [20].


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