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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 (Joint) |
2018-05-19 15:45 |
Toyama | Univ. of Toyama | On Simple Growing Reservoir Computing Systems Naoki Sakamoto, Toshimichi Saito (HU) NC2018-4 |
This paper studies basic function of a simple reservoir computing system. The system is based on a ring-type recurrent n... [more] | NC2018-4 pp.15-18 |
| NLP | 2017-11-06 15:15 |
Miyagi | Research Institute of Electrical Communication Tohoku University | Stability of Cellular Automata with Time-variant Rules Takahiro Ozawa, Toshimichi Saito (HU) NLP2017-83 |
The elementary cellular automata(ECA) is a digital dynamical system in which time, space and states are all discrete. ... [more] |
NLP2017-83 pp.101-105 |
| NLP | 2017-11-06 16:05 |
Miyagi | Research Institute of Electrical Communication Tohoku University | Fault tolerance of paralleled boost converters coupled by WTA switching Kaito Ando, Toshimichi Saito (Hosei University) NLP2017-85 |
This paper studies basic dynamics of a coupled system of boost converters. The converters are coupled by current-thresh... [more] |
NLP2017-85 pp.113-116 |
| NLP, CAS | 2017-10-05 13:25 |
Niigata | Machinaka Campus Nagaoka | Analysis of Cellular Automata based on Simple Feature Quantities Kazuma Makita, Takahiro Ozawa, Toshimichi Saito (HU) CAS2017-25 NLP2017-50 |
This paper studies basic dynamics of cellular automata(CA): digital dynamical systems in which time, space and state... [more] |
CAS2017-25 NLP2017-50 pp.5-9 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-24 09:30 |
Okinawa | Okinawa Institute of Science and Technology | Elementary cellular automata and dynamic binary neural networks Takahiro Ozawa, Kazuma Makita, Toshimichi Saito (Hosei Univ.) NC2017-13 |
This paper studies basic dynamic of elementary cellular automata(ECA): digital dynamical systems in which time, space a... [more] |
NC2017-13 pp.93-97 |
| 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 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-24 10:20 |
Okinawa | Okinawa Institute of Science and Technology | Synchronization and stability of digital spiking neurons Hiroaki Uchida, Tomoki Hamaguchi, Toshimichi Saito (Hosei Univ.) NC2017-15 |
The digital spiking neuron(DSN) is constructed by two shift-resistors connected by a wiring. Depending on the wiring pat... [more] | NC2017-15 pp.105-108 |
| 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 |
| NC, NLP (Joint) |
2017-01-26 10:20 |
Fukuoka | Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. | Analysis of cellular automata based on feature quantities Naoki Tada, Toshimichi Saito (HU) NLP2016-99 |
This paper studies steady state dynamics of cellular automata (CA): digital dynamical systems in which time, space and ... [more] |
NLP2016-99 pp.13-17 |
| NC, NLP (Joint) |
2017-01-26 11:45 |
Fukuoka | Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. | Analysis of Switched dynamical systems based on coupled boost converters Yasuo Murata, Toshimichi Saito (Hosei Univ) NLP2016-102 |
This paper studies a switched dynamical system based on a paralleled system of boost converters with Winner-Take-All swi... [more] | NLP2016-102 pp.31-35 |
| NC, NLP (Joint) |
2017-01-27 13:00 |
Fukuoka | Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. | Dynamic Binary Neural Networks with Local Connection Kazuma Makita, Toshimichi Saito (HU) NC2016-57 |
This paper studies of dynamic binary neural networks. The network is characterized by a signum activation fuction and ... [more] |
NC2016-57 pp.53-57 |
| NLP | 2016-12-12 13:25 |
Aichi | Chukyo Univ. | Basic dynamics of a piecewise linear model from paralleled boost converters Kaito Ando, Yasuo Murata, Toshimichi Saito (HU) NLP2016-85 |
This paper studies basic dynamics of a coupled system of boost converters. The converters are coupled by current-thres... [more] |
NLP2016-85 pp.7-10 |
| NLP | 2016-12-12 14:00 |
Aichi | Chukyo Univ. | Various super-stable periodic orbits in an integrate-and-fire circuit with higher frequency sawtooth base signal Kazuya Sugita, Risa Takahashi, Toshimichi Saito (HU) NLP2016-86 |
This paper studies dynamics of a bifurcating neuron circuit. Applying sum of two sawtooth base signals of different fr... [more] |
NLP2016-86 pp.11-14 |
| 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 |
|
| CAS, NLP | 2016-10-27 10:20 |
Tokyo | Analysis of simple digital maps based on analog 1D maps Hiroyuki Kusano, Toshimichi Saito (HU) CAS2016-40 NLP2016-66 |
Discretizing an analog map, we obtain a digital map defined on a set of lattice points. As is well known,the analog map ... [more] | CAS2016-40 NLP2016-66 pp.11-15 |
|
| NLP | 2016-09-15 13:50 |
Hyogo | Konan Univ. | Analysis of Super-stable Periodic Orbits in Piecewise Linear Bifurcating Neuron Circuits Risa Takahashi, Toshimichi Saito (Hosei Univ.) NLP2016-60 |
This paper studies dynamics of the bifurcating neuron circuit. Repeating integrate-and-fire behavior between a constan... [more] |
NLP2016-60 pp.83-87 |
| NLP | 2016-09-15 14:30 |
Hyogo | Konan Univ. | A PSO with Pbest reset and its application to dynamic maximum power point tracking Kosuke Tanakajima, Ryusuke Akeno, Toshimichi Saito (Hosei Univ.) NLP2016-61 |
This paper presents a particle swarm optimizer algorithm for the maximum power point tracking in time-variant photovolta... [more] | NLP2016-61 pp.89-92 |
| 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 |
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