Presentation	2004/1/20 The Frustrated Lattice Gas Model and Associative Memories (Neurocomputing) Jun-ichi INOUE,
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Abstract(in English)	Associative memories are formulated by the frustrated lattice gas (FLG) model. In this mathematical model, each neuron is labeled as "hole" or "non-hole" (namely, "occupied") dynamically. Consequently, the hole neuron is isolated from the neural network. The number of the hole neurons is controlled by chemical potential of the system. With the assistance of the replica method, we investigate the performance of the dynamically diluted network as associative memories. We find that in comparison with the conventional Hopfield model, the pattern-retrieval ability of this network is easily weaken by the thermal noise, however, the network is robust against the increase of the cross-talk noise.
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Keyword(in English)	associative memories / frustrated lattice gas / statistical mechanics / replica method / phase transition
Paper #	NC2003-130
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Committee	NC
Conference Date	2004/1/20(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	The Frustrated Lattice Gas Model and Associative Memories (Neurocomputing)
Sub Title (in English)
Keyword(1)	associative memories
Keyword(2)	frustrated lattice gas
Keyword(3)	statistical mechanics
Keyword(4)	replica method
Keyword(5)	phase transition
1st Author's Name	Jun-ichi INOUE
1st Author's Affiliation	Graduate School of Enginnering, Hokkaido University()
Date	2004/1/20
Paper #	NC2003-130
Volume (vol)	vol.103
Number (no)	602
Page	pp.pp.-
#Pages	6
Date of Issue