Presentation 1997/2/6
Computer Simulation of Fractal Transition on Recurrent Network
Shozo SATO, Kazutoshi GOHARA,
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Abstract(in English) We have to understand behaviors of Recurrent Neural Netwaorks(RNN) considerd non-automous systems when external inputs change with time. In this case, we had shown that a behavior of RNN are considered a sequence of transitions between attractors corresponding external input patterns. This paper experimentally shows that a trajectory of this sequence in the state space produce a fractal structure, and presents the RNN is a dynamical system on a fractal-like invariant set.
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Keyword(in English) Recurrent Network / Dynamical System / Fractal Transition
Paper # NLP96-140,NC96-94
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Conference Information
Committee NC
Conference Date 1997/2/6(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) Computer Simulation of Fractal Transition on Recurrent Network
Sub Title (in English)
Keyword(1) Recurrent Network
Keyword(2) Dynamical System
Keyword(3) Fractal Transition
1st Author's Name Shozo SATO
1st Author's Affiliation Faculty of Engineering, Hokkaido University()
2nd Author's Name Kazutoshi GOHARA
2nd Author's Affiliation Faculty of Engineering, Hokkaido University
Date 1997/2/6
Paper # NLP96-140,NC96-94
Volume (vol) vol.96
Number (no) 511
Page pp.pp.-
#Pages 8
Date of Issue