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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS (Joint) |
2019-03-14 14:45 |
Fukui | Bunkyo Camp., Univ. of Fukui | Behavior classification method based on the feature space in a neural network Masafumi Chida, Keita Sato, Nahomi Fujiki, Yoshihiro Hyakawa (NITS)  NLP2018-128 |
(To be available after the conference date) [more] | NLP2018-128 pp.23-26 |
| NLP, MSS (Joint) |
2019-03-14 15:10 |
Fukui | Bunkyo Camp., Univ. of Fukui | Automatic classification of human behavior using wearable devices Keita Sato, Masafumi Chida, Yoshihiro Hayakawa, Nahomi Fujiki (NITS) NLP2018-129 |
(To be available after the conference date) [more] | NLP2018-129 pp.27-30 |
| ET | 2018-12-08 14:05 |
Niigata | Nagaoka University of Technology | Design of a Relation Model of Pattern Using the DEMATEL Method in Chinese Medicine Information Igarashi aya, Takahashi Koichi, Rikitake Yoshiaki, Hayakawa Yoshihiro (NIT, Sendai College), Seki Takashi (Tohoku Univ.), Takahashi Akiko (NIT, Sendai College) ET2018-72 |
There are few opportunities for learners of Chinese medicine including physicians to receive systematic education in Jap... [more] | ET2018-72 pp.33-36 |
| NLP | 2016-12-12 16:25 |
Aichi | Chukyo Univ. | The Relationship between Modular Neural Network and Noise Effect Kou Muraoka, Rui Yoshida, Yoshihiro Hayakawa (NIT, Sendai) NLP2016-91 |
Some of combinatorial optimization problems have problems that the number of solutions to be searched increases with the... [more] | NLP2016-91 pp.39-44 |
| NLP, CCS | 2015-06-12 10:15 |
Tokyo | Waseda Univerisity | Dynamics analysis of Modular Neural Network using Toy Model Yoshihiro Hayakawa, Masayuki Matumori (NIT,Sendai) NLP2015-57 CCS2015-19 |
Combinatorial optimization problems cause exponential increases of calculation time in terms of a problem size. In case ... [more] | NLP2015-57 CCS2015-19 pp.109-113 |
| MBE, NC (Joint) |
2014-11-21 11:00 |
Miyagi | Tohoku University | A Comparison of Back Propagation Learning between the Inverse-function Delayless Model and a Conventional Model Yuta Horiuchi (Tohoku Univ), Yoshihiro Hayakawa (SNCT), Takeshi Onomi, Koji Nakajima (Tohoku Univ) NC2014-26 |
For the combinatorial optimization problem using the hopfield model, avoidance of the local minimum problem is important... [more] | NC2014-26 pp.7-10 |
| MBE, NC (Joint) |
2014-11-21 11:25 |
Miyagi | Tohoku University | The Relation between Dispersion of Initial Values and Pre-training of Deep Neural Networks Seitaro Shinagawa (Tohoku univ.), Yoshihiro Hayakawa (SNCT), Takeshi Onomi, Koji Nakajima (Tohoku univ.) NC2014-27 |
[more] | NC2014-27 pp.11-14 |
| NLP | 2014-06-30 16:00 |
Miyagi | Tohoku Univ. | Backpropagation learning using inverse function delay-less model Yuta Horiuchi (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Takeshi Onomi, Koji Nakajima (Tohoku Univ.) NLP2014-25 |
The Inverse function Delayed (ID) model has been proposed as one of novel neural models. ID model has a oscillation capa... [more] | NLP2014-25 pp.27-30 |
| NLP | 2014-07-01 10:00 |
Miyagi | Tohoku Univ. | Learning Restricted Boltzmann Machine with discrete learning parameter Seitaro Shinagawa (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Takeshi Onomi, Koji Nakajima (Tohoku Univ.) NLP2014-27 |
Recently, the method of Deep Neural Network (DNN) with hierarchical learning has been remarkable for performance to solv... [more] | NLP2014-27 pp.37-40 |
| CPM, ED, SDM | 2014-05-28 14:00 |
Aichi | Optimization of the preparation condition of LiMn2O4 film Yoshihiro Hayakawa, Masaaki Isai, Yasumasa Tomita (Shizuoka Univ.) ED2014-23 CPM2014-6 SDM2014-21 |
[more] | ED2014-23 CPM2014-6 SDM2014-21 pp.27-32 |
|
| NLP | 2014-01-21 13:30 |
Hokkaido | Niseko Park Hotel | DTN routing method by using neural networkas. Daisuke Sasaki (Tohoku Univ), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ) NLP2013-136 |
A Disruption tolerant Network (DTN) is studied as a communicating technique for the time when a network infrastructure w... [more] | NLP2013-136 pp.41-44 |
| NLP | 2014-01-21 13:50 |
Hokkaido | Niseko Park Hotel | Solving Optimization Problems Using DS-net and IDL model Yuto Watanabe (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2013-137 |
The Inverse function DelayLess (IDL) model has been proposed as one of novel neural models. Since the IDL model can set ... [more] | NLP2013-137 pp.45-50 |
| NLP | 2014-01-21 15:40 |
Hokkaido | Niseko Park Hotel | Neural Network learning using Inverse Function Delayless Model Yuta Horiuchi (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2013-142 |
The Inverse function Delayed (ID) model has been proposed as one of novel neural models. The ID model has an ability of ... [more] | NLP2013-142 pp.73-76 |
| NLP | 2014-01-22 10:20 |
Hokkaido | Niseko Park Hotel | Studies on the hardware of neural associative memory with a broad basin Jiang Jing (Tohoku Univ), Yoshihiro Hayakawa (Sendai NT), Shigeo Sato, Koji Nakajima (Tohoku Univ) NLP2013-147 |
Abstract Because associative operation of the Hopfield neural network model are trapped in spurious memory, the associat... [more] | NLP2013-147 pp.99-102 |
| NLP | 2013-10-29 13:30 |
Kagawa | Sanport Hall Takamatsu | Discussion about the effectiveness of a DS-net and an active neuron model Yoshihiro Hayakawa, Hikaru Okuda (Sendai NCT.), Yuto Watanabe, Koji Nakajima (Tohoku Univ.) NLP2013-100 |
The active neuron model, which means an active region in output space, is an effective tool to avoid local minimum pro... [more] |
NLP2013-100 pp.159-164 |
| NLP | 2012-12-18 09:45 |
Fukui | Fukui City Communication Plaza | Inverse Function Delayless (IDL) Model Yuto Watanabe (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2012-98 |
The Inverse function Delayed (ID) model has been proposed as one of novel neural models. The ID model has the negative r... [more] | NLP2012-98 pp.57-60 |
| NLP | 2012-12-18 10:10 |
Fukui | Fukui City Communication Plaza | Hardware implementation of the discrete Inverse-function Delayed network with Higher order synaptic Connections Kosuke Matsui (Tohoku Univ.), Yoshihiro Hayakawa (Sendai N.C.T.), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2012-99 |
The HC-ID network has been proposed as a network model that avoids local minima when it is applied to combinatorial opti... [more] | NLP2012-99 pp.61-64 |
| NLP | 2012-12-18 10:35 |
Fukui | Fukui City Communication Plaza | Optimization of Scheduling in Disruption-Tolerant Networks by Neural Network Daisuke Sasaki (Tohoku Univ), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ) NLP2012-100 |
A Disruption tolerant Network (DTN) is studied as a communicating technique when a network infrastructure was destroyed ... [more] | NLP2012-100 pp.65-68 |
| NLP | 2012-03-27 16:05 |
Nagasaki | Fukue Cultural Hall | Designing method of Energy Functions for Solving Combinatorial Optimization Problems by the Network with Higher-order Connections Takahiro Sota (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2011-148 |
We have proposed the Inverse function Delayed network with Higher order synaptic Connections (HC-ID network) to solve va... [more] | NLP2011-148 pp.39-44 |
| NLP | 2011-03-11 13:30 |
Tokyo | Tokyo University of Science | Higher order neural network with stochastic logic Takahiro Sota (Tohoku Univ.), Yoshihiro Hayakawa (Sendai National College of Technology), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2010-189 |
We have proposed the method to solve various combinatorial optimization problems such as Traveling Salesman Problems (TS... [more] | NLP2010-189 pp.149-152 |
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