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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, NC
(Joint)
2017-03-13
11:15
Tokyo Kikai-Shinko-Kaikan Bldg. Stability and Sparsity of Dynamic Binary Neural Networks
Shunsuke Aoki, Ryuji Sato, Toshimichi Saito (HU) NC2016-81
This paper studies relation between sparsification and stability of a desired binary periodic orbit in the dynamic binar... [more] NC2016-81
pp.103-107
MBE, NC
(Joint)
2016-12-07
13:30
Aichi Toyohashi University of Technology NC2016-40 This paper studies relation between sparsification and stability of desired binary periodic orbits in the dynamic binary... [more] NC2016-40
pp.1-5
CAS, NLP 2016-10-27
09:30
Tokyo   On sparsification of Dynamic Binary Neural Networks
Shunsuke Aoki, Ryuji Sato, Toshimichi Saito (HU) CAS2016-38 NLP2016-64
This paper studies sparsification effects of connection parameters in dynamic binary neural networks. The network is cha... [more] CAS2016-38 NLP2016-64
pp.1-4
MBE, NC
(Joint)
2016-05-21
13:00
Toyama University of Toyama Simple feature quantities of periodic orbits in dynamic binary neural networks
Kazuma Makita, Ryuji sato, Toshimichi Saito (HU) NC2016-1
This paper studies perodic orbits of dynamic binary neural networks.
The network is characterized by a signum activati... [more]
NC2016-1
pp.1-4
NC, NLP
(Joint)
2016-01-29
13:35
Fukuoka Kyushu Institute of Technology Analysis of periodic orbits in dynamic binary neural networks
Kazuma Makita, Ryuji Sato, Toshimichi Saito (HU) NC2015-61
This paper considers analysis of dynamic binary neural networks.
The networks can generate various binary periodic orb... [more]
NC2015-61
pp.25-28
NLP, CAS 2015-10-05
11:10
Hiroshima Aster Plaza Learning of Dynamic Binary Neural Networks by Sparsification
Ryuji Sato, Toshimichi Saito (HU) CAS2015-23 NLP2015-84
This paper studies learning of the dynamic binary neural network that can generate various binary periodic orbits. The l... [more] CAS2015-23 NLP2015-84
pp.15-20
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-25
15:45
Okinawa Okinawa Institute of Science and Technology Learning of dynamic binary neural networks based on the simple feature quantity
Ryuji Sato, Toshimichi Saito (HU) NC2015-9
This paper studies learning of the dynamic binary neural network that can generate various binary periodic orbits. The l... [more] NC2015-9
pp.83-87
MBE, NC
(Joint)
2014-12-13
13:20
Aichi Nagoya University Consideration of Dynamic Binary Neural Networks based on the Feature Quantity Plane
Ryuji Sato, Jungo Moriyasu, Toshimichi Saito (Hosei Univ.) NC2014-51
This paper studies learning the 2-layer dynamic binary neural network that can generate various binary periodic orbit.
... [more]
NC2014-51
pp.43-47
MRIS, ITE-MMS 2013-03-08
13:05
Aichi Nagoya Univ. High-Density Optical Recording on Thin Optical Disks Using Solid Immersion Lens
Daiichi Koide, Takeshi Kajiyama, Ryuji Sato, Haruki Tokumaru (NHK), Yoshimichi Takano (NHK-ES), Kiyoshi Ohishi (NUT)
 [more]
 Results 1 - 9 of 9  /   
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