Presentation 2016-12-07
Relation between Stabilization of Periodic Orbit and Sparsification in Dynamic Binary Neural Networks
Ryuji Sato, Toshimichi Saito,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper studies relation between sparsification and stability of desired binary periodic orbits in the dynamic binary neural networks. Depending on the parameters and initial condition, the network can generate various binary periodic orbits. In order to store of a desired periodic orbit, we decide the parameters optionally. We then sparse the network ramdomly. In order to see the network behavior, we introduce two simple feature quantities based on steady states and sparsification of the network. Performing basic numerical experiments, we investigate the usefulness of sparsification in stabilization of desired periodic orbit.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Binary Neural Networks / Sparsification / Feature quantities
Paper # NC2016-40
Date of Issue 2016-11-30 (NC)

Conference Information
Committee MBE / NC
Conference Date 2016/12/7(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Toyohashi University of Technology
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yutaka Fukuoka(Kogakuin Univ.) / Shigeo Sato(Tohoku Univ.)
Vice Chair Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.)
Secretary Kazuki Nakajima(Kogakuin Univ.) / Masafumi Hagiwara(Toyama Pref. Univ.)
Assistant Ryota Horie(Shibaura Inst. of Tech.) / Kim Juhyon(Univ. of Toyama) / Hisanao Akima(Tohoku Univ.) / Yoshihisa Shinozawa(Keio Univ.)

Paper Information
Registration To Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Relation between Stabilization of Periodic Orbit and Sparsification in Dynamic Binary Neural Networks
Sub Title (in English)
Keyword(1) Binary Neural Networks
Keyword(2) Sparsification
Keyword(3) Feature quantities
1st Author's Name Ryuji Sato
1st Author's Affiliation Hosei University(HU)
2nd Author's Name Toshimichi Saito
2nd Author's Affiliation Hosei University(HU)
Date 2016-12-07
Paper # NC2016-40
Volume (vol) vol.116
Number (no) NC-343
Page pp.pp.1-5(NC),
#Pages 5
Date of Issue 2016-11-30 (NC)