Presentation	1998/6/18 Graphic Transformation Method applied to Asymmetric Neural Networks Kenichiro Mogi,
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Abstract(in English)	King and Altman's graphic method describes a way of expressing the steady state distribution in a system of discrete states. The graphic transformation method is developed on top of the King & Altman method. In the graphic transformation method, we consider how each terms in the distribution weight of the system is transformed as a result of the graphic transformation. We can then get a separate expression for the contribution of the asymmetric synaptic weights in a neural network. It is found that in an asymmetric neural network it is not possible to assign the energy value locally to a specific neural state.
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Keyword(in English)	asymmetric connection / graph theory / graphic transformation method / neural network / steady state
Paper #	NC98-23,HIP98-14
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Conference Information
Committee	NC
Conference Date	1998/6/18(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)	Graphic Transformation Method applied to Asymmetric Neural Networks
Sub Title (in English)
Keyword(1)	asymmetric connection
Keyword(2)	graph theory
Keyword(3)	graphic transformation method
Keyword(4)	neural network
Keyword(5)	steady state
1st Author's Name	Kenichiro Mogi
1st Author's Affiliation	Sony Computer Science Laboratory()
Date	1998/6/18
Paper #	NC98-23,HIP98-14
Volume (vol)	vol.98
Number (no)	128
Page	pp.pp.-
#Pages	8
Date of Issue