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 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
NC 2015-01-29
14:35		 Fukuoka Kyushu Institute of Technology Associative memory and amplitude death of hysteresis neural networks
Kei Yamaoka, Toshimichi Saito (HU) NC2014-58		 This paper studies effects of the amplitude death on the
storage function of the hysteresis neural network.
Applying... [more]		 NC2014-58
pp.7-10
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
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2014-06-27
15:50		 Okinawa Okinawa Institute of Science and Technology Sparsification of Dynamic Binary Neural Networks
Jungo Moriyasu, Toshimichi Saito (Hosei Univ.) NC2014-16 IBISML2014-16		 This paper studies basic dynamics and learning capability of the dynamic binary neural network.
The network has the s... [more]		 NC2014-16 IBISML2014-16
pp.243-248
NC, IPSJ-BIO 2013-06-28
11:20		 Okinawa Okinawa Institute of Science and Technology Sparsity and stability of dynamic binary neural networks
Jungo Moriyasu, Toshimichi Saito (Hosei Univ.) NC2013-8		 This paper studies basic dynamics and learning capability of the simple dynamic binary neural network. The network has ... [more] NC2013-8
pp.111-116
MBE, NC
(Joint)		 2013-03-13
11:05		 Tokyo Tamagawa University Learning of Dynamic Binary Networks with Sparse Connection and Its Application
Jungo Moriyasu, Ryota Kouzuki, Toshimichi Saito (Hosei Univ.) NC2012-136		 This paper studies basic dynamics and learning capability of the simple dynamic binary neural network. The network has ... [more] NC2012-136
pp.13-17
NC 2012-10-05
11:05		 Fukuoka Kyushu Institute of Technology (Wakamatsu Campus) Learning and application of dynamic binary neural networks
Ryota Kouzuki, Yuta Nakayama, Toshimichi Saito (HU) NC2012-51		 This paper studies simple dynamic binary neural networks characterized by signum activation function and ternary weighti... [more] NC2012-51
pp.85-89
NLP 2012-01-24
10:35		 Fukushima Aizu-keiko-do Hall Behavioral analysis of cellular automata based on mixed rules
Ryota Kouzuki, Ryo Ito, Toshimichi Saito (HU) NLP2011-137		 This paper studies a modified cellular automaton whose dynamics is governed by repetition of two local rules.
This sys... [more]		 NLP2011-137
pp.75-79
 Results 1 - 9 of 9  /   
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