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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2019-03-04
16:35
Tokyo University of Electro Communications Application of dynamic binary neural networks to central pattern generators
Shota Anzai, shunsuke aoki, seitaro koyama, Toshimichi Saito (HU) NC2018-61
This paper studies basic dynamics of simple dynamic binary neural networks and their applications.
The network is chara... [more]
NC2018-61
pp.95-98
MBE, NC
(Joint)
2018-05-19
15:20
Toyama Univ. of Toyama On Stability of Sparse Binary Neural Networks
Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NC2018-3
The dynamic binary neural network is characterized by ternary connection parameters and the signum activaion function.
... [more]
NC2018-3
pp.9-13
MBE, NC, NLP
(Joint)
2018-01-27
11:20
Fukuoka Kyushu Institute of Technology Stability and periodic orbits in dynamic binary neural newtorks
Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NLP2017-97
The dynamic binary neural network is characterized by the signum activation function and ternary connection parameters. ... [more] NLP2017-97
pp.59-62
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2017-06-24
09:55
Okinawa Okinawa Institute of Science and Technology Stability of fixed points and periodic orbits in dynamic binary neural networks
Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (Hosei Univ.) NC2017-14
The dynamic neural networks are characterized by the signum activation function and ternary connection parameters.
Depe... [more]
NC2017-14
pp.99-103
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
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
 Results 1 - 6 of 6  /   
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