Presentation 2012-01-26
Influence on the Storage Capacity by the Difference Between Network Structure and a Pattern Set
Masaya NAKAKURA, Keisuke TERAYAMA, Yukari YAMAUCHI,
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Abstract(in English) In the research field of complex networks, efficiency and performance evaluations of the network structure have been analyzed using the storage capacity of associative memory. Traditionally, researchers have been used random dot patterns for memorizing data. However, to analyze the relationship between network structure and storage capacity only by random dot patterns is not appropriate, because there may exist the optimal network topology for certain data types. Therefore, we adopted sequential patterns and characteristic patterns in addition to random dot patterns. Experimental results showed that the optimal network structure with high storage capacity differs due to the difference of pattern types.
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Keyword(in English) Complex Network / Self-Organization / Small World / Associative Memory
Paper # NC2011-98
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Committee NC
Conference Date 2012/1/19(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Influence on the Storage Capacity by the Difference Between Network Structure and a Pattern Set
Sub Title (in English)
Keyword(1) Complex Network
Keyword(2) Self-Organization
Keyword(3) Small World
Keyword(4) Associative Memory
1st Author's Name Masaya NAKAKURA
1st Author's Affiliation College of Industrial Technology, Nihon University()
2nd Author's Name Keisuke TERAYAMA
2nd Author's Affiliation College of Industrial Technology, Nihon University
3rd Author's Name Yukari YAMAUCHI
3rd Author's Affiliation College of Industrial Technology, Nihon University
Date 2012-01-26
Paper # NC2011-98
Volume (vol) vol.111
Number (no) 419
Page pp.pp.-
#Pages 6
Date of Issue