Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
NC, MBE (Joint) |
2012-12-12 09:50 |
Aichi |
Toyohashi University of Technology |
An Application of Dynamic Binary Networks: Learning of Switching Signals of Matrix Converters Yuta Nakayama, Toshimichi Saito (HU) NC2012-76 |
This paper studies a dynamic binary neural networks (DBNN) and its learning of periodic binary sequence.
As an applica... [more] |
NC2012-76 pp.13-18 |
MBE, NC (Joint) |
2012-03-14 17:40 |
Tokyo |
Tamagawa University |
Analysis of Learning Process of Dynamics Binary Neural Networks Yuta Nakayama, Ryo Ito, Toshimichi Saito (HU) NC2011-148 |
This paper studies a dynamic binary neural networks (DBNN) for learning of $N$-bit binary sequence.
We consider that t... [more] |
NC2011-148 pp.159-164 |
CAS, NLP |
2011-10-21 17:20 |
Shizuoka |
Shizuoka Univ. |
Logical Synthesis based on ART-Maps Yusuke Okamoto, Yuta Nakayama, Yoko Enosawa, Toshimichi Saito (HU) CAS2011-62 NLP2011-89 |
This paper presents an application of the adaptive resonance theory map to learning algorithm of binary neural networks ... [more] |
CAS2011-62 NLP2011-89 pp.169-173 |
NLP |
2011-05-27 09:35 |
Kagawa |
Olive park olive memorial hall |
Learning of binary neural networks for logical synthesis Yuta Nakayama, Ryo Ito, Toshimichi Saito (HU) NLP2011-11 |
This paper studies a learning algorithm of binary neural networks (BNN) and its application to logical synthesis. The ne... [more] |
NLP2011-11 pp.49-53 |
NC, MBE (Joint) |
2011-03-07 17:40 |
Tokyo |
Tamagawa University |
Learning of Binary Neural Networks based on genetic algorithm Ryo Ito, Toshimichi Saito (HU) NC2010-157 |
This paper presents a dynamic binary neural network for learing of $N$-bit binary sequence. Basically, the network is co... [more] |
NC2010-157 pp.177-182 |
NLP |
2010-11-20 09:55 |
Miyagi |
Tohoku University (RIEC) |
An Approach to Logical Synthesis by Binary Neural Networks Yuta Nakayama, Ryo Ito, Toshimichi Saito (Hosei Univ.) NLP2010-108 |
This paper studies a genetic-algorithm-based learning of binary neural networks (BNN) and its realization function of Bo... [more] |
NLP2010-108 pp.43-47 |
NLP |
2010-10-29 10:30 |
Osaka |
Osaka University Machikaneyama Hall |
On learning of dynamic binary neural networks Ryo Ito, Toshimichi Saito (HU) NLP2010-94 |
This paper presents a dynamic binary neural network of $N$-bit binary sequence. Basically, the network is constructed by... [more] |
NLP2010-94 pp.75-80 |
NC |
2010-01-18 17:20 |
Hokkaido |
Hyakunen-Kinen in Hokkaido University |
On learning characteristics of binary neural networks with fuzziness tolerance Shutaro Kabeya, Toshimichi Saito (Hosei Univ.) NC2009-79 |
This paper applies the genetic algorithm (GA) to the binary neural networks (BNN) with fuzziness tolerance and studies l... [more] |
NC2009-79 pp.49-54 |
NLP |
2009-11-14 09:15 |
Kagoshima |
|
On a GA-based Learning Algorithm of Soft-Margin Binary Neural Networks Shutaro Kabeya, Toshimichi Saito (Hosei Univ.) NLP2009-113 |
This paper studies a genetic learning algorithm of soft-margin binary neural networks.
A genetic algorithm based learn... [more] |
NLP2009-113 pp.177-180 |
NLP |
2009-02-28 14:00 |
Kanagawa |
|
Learnming of CA rules for Digital BNN Shutaro Kabeya, Tohru Abe, Toshimichi Saito (HUHosei Univ.) NLP2008-142 |
This paper studies a GA based learning algorithm of digital binary neural networks for approximation of desired Boolean ... [more] |
NLP2008-142 pp.61-64 |
CAS, NLP |
2009-01-22 11:35 |
Miyazaki |
|
Digital Spatio-Temporal Pattern Prediction by Binary Neural Networks with Evolutional Learning Tohru Abe, Toshimichi Saito (Hosei Univ.) CAS2008-70 NLP2008-100 |
This paper studies application of binary neural networks (BNN) to prediction for spatio-temporal patterns.
In the app... [more] |
CAS2008-70 NLP2008-100 pp.37-40 |
NLP |
2007-08-07 11:10 |
Shizuoka |
|
Synthesis of rule-dynamics by binary neural networks Tohru Abe, Toshimichi Saito (Hosei Univ.) NLP2007-57 |
This paper studies binary neural networks (BNNs) characterized by signum
activation function and binary connection par... [more] |
NLP2007-57 pp.25-28 |
NC |
2007-03-16 10:30 |
Tokyo |
Tamagawa University |
Learning of CA rules by Digital Multi-Layer Perceptrons Tohru Abe, Toshimichi Saito (HU) |
This paper studies learning of Binary Neural Networks (BNNs) that is a simplified version of Multi-Layer-Perceptrons.
T... [more] |
NC2006-202 pp.85-89 |
NLP |
2006-01-24 14:00 |
Tokushima |
Shikoku Univ. |
Synthesis of desired cellular automata based on binary neural networks Toshimichi Saito, Takashi Yamamichi, Satoshi Suzuki, Hiroyuki Torikai (Hosei Univ.) |
This paper considers analysis and synthesis of cellular automata ( CAs ).
The CA has binary state variable and the dyn... [more] |
NLP2005-119 pp.117-122 |
NLP |
2004-05-18 11:20 |
Miyagi |
Tohoku Univ. |
* Takashi Yamamichi, Toshimichi Saito (Hosei Univ.) |
Binary neural network (BNN) can approximate a desired Boolean function by a simple learning algorithm.This paper present... [more] |
NLP2004-3 pp.11-15 |