Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP, MSS |
2023-03-15 16:35 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
An Trial to Replace Chaotic Neural Networks with Hidden Markov Models.
-- A Case of Method for Solving Asymmetric Traveling Salesman Problems -- Toshihiro Tachibana, Tomoya Matsuno (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.), Kaya Nagasawa (Shonan Inst. of Tech.) MSS2022-78 NLP2022-123 |
We have proposed a method for adaptive switching between multiple methods using chaotic neural networks. Our research ha... [more] |
MSS2022-78 NLP2022-123 pp.81-84 |
CAS, CS |
2023-03-01 09:55 |
Fukuoka |
Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
A Study of Switching Methods Using Chaotic Neurodynamics for Solving Multi-Objective Optimization Problem Toshihiro Tachibana, Touya Suzuki, Takuya Inoue (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) CAS2022-97 CS2022-74 |
We have proposed several methods for solving asymmetric traveling salesman problems and multi-objective optimization pro... [more] |
CAS2022-97 CS2022-74 pp.6-11 |
CAS, NLP |
2022-10-20 16:10 |
Niigata |
(Primary: On-site, Secondary: Online) |
Learning Method for Echo State Networks Constructed by Chaotic Neuron Models by Innate Training Yudai Ebato, Sou Nobukawa, Yusuke Sakemi (CIT), Takashi Kanamaru (kougakuin univ), Nina Sviridova (Tokyo Univ. of Science), Kazuyuki Aihara (UTokyo) CAS2022-26 NLP2022-46 |
Echo State Network (ESN) is a machine learning method that consists of an input layer, a layer of recurrent neural netwo... [more] |
CAS2022-26 NLP2022-46 pp.35-40 |
NLP |
2022-08-02 09:25 |
Online |
Online |
Performance Evaluation of Time Series Forecasting with Chaotic Neural Network Reservoir using ReLU Derived Functions Tatsuya Saito, Misa Fujita (Chukyo Univ.) NLP2022-27 |
Reservoir computing has been attracting attention in recent years.
It can learn time-series data at high speed.
Th... [more] |
NLP2022-27 pp.7-10 |
MSS, NLP |
2022-03-29 13:00 |
Online |
Online |
A Relation between Gap and City Layout for Asymmetric Traveling Salesman Problems Using Hidden Markov Models Toshihiro Tachibana, Tomoya Matsuno (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) MSS2021-74 NLP2021-145 |
We have proposed several methods for solving asymmetric traveling salesman problems and multi-objective optimization pro... [more] |
MSS2021-74 NLP2021-145 pp.101-104 |
NLP |
2021-12-18 14:50 |
Oita |
J:COM Horuto Hall OITA |
Experiment of time series signal classification task using 3D cyclic chaotic neural network reservoir Takemori Orima, Yoshihiko Horio (Tohoku Univ.) NLP2021-65 |
The chaotic neural network reservoir composed of chaotic neurons can perform time-series signal processing with a smalle... [more] |
NLP2021-65 pp.100-103 |
NLP |
2021-12-18 15:40 |
Oita |
J:COM Horuto Hall OITA |
Performance evaluation on timeseries prediction of multi-layer simple cycle reservoir computing Kentaro Imai, Masaharu Adachi (Tokyo Denki Univ.) NLP2021-67 |
The purpose of this study is to combine Deep Echo State Network with other models. In this study, we propose and impleme... [more] |
NLP2021-67 pp.110-113 |
CAS, ICTSSL |
2021-01-29 10:10 |
Online |
Online |
Consideration of Switching by Chaotic Neurodynamics for Asymmetric TSPs by using Hidden Markov Model Tomoya Matsuno, Toshihiro Tachibana (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) CAS2020-59 ICTSSL2020-44 |
Several methods for solving the asymmetric traveling salesman problem using chaotic neural networks is proposed by Tachi... [more] |
CAS2020-59 ICTSSL2020-44 pp.107-110 |
CAS, ICTSSL |
2021-01-29 10:30 |
Online |
Online |
A Method for Solving Traveling Salesman Problems Using Switching of Crossover by Chaotic Neurodynamics Masayuki Kashiwagi, Tomoki Ishizawa, Toshihiro Tashibana (Shonan Inst. of Tech.) CAS2020-60 ICTSSL2020-45 |
In this paper, we solve traveling salesman problems using genetic algorithm. The genetic algorithm is a heuristic method... [more] |
CAS2020-60 ICTSSL2020-45 pp.111-114 |
NLP, NC (Joint) |
2020-01-25 09:50 |
Okinawa |
Miyakojima Marine Terminal |
Quantitative Evaluation of Dynamics in Chaotic Neural Network Reservoir Keisuke Fukuda, Maakito Inoue, Yoshihiko Horio (Tohoku Univ.) NLP2019-102 |
A chaotic neural network reservoir has been proposed as a method to introduce diversity in reservoir neural network dyna... [more] |
NLP2019-102 pp.89-94 |
NLP, NC (Joint) |
2020-01-25 10:10 |
Okinawa |
Miyakojima Marine Terminal |
Application of Chaotic Neural Network Reservoir to Speech Recognition Maakito Inoue, Keisuke Fukuda, Yoshihiko Horio (Tohoku Univ.) NLP2019-103 |
The neural network reservoir is a learning network model using the recurrent neural network. The chaotic neural network ... [more] |
NLP2019-103 pp.95-98 |
MSS, NLP (Joint) |
2018-03-14 15:20 |
Osaka |
|
Method for Solving Asymmetric Traveling Salesman Problems by Dynamically Changes the Number of Cities Consider as One City Toshihiro Tachibana (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) NLP2017-113 |
In this paper, the authors extend a proposed method for asymmetric traveling salesman problems. Asymmetric traveling sal... [more] |
NLP2017-113 pp.61-66 |
NLP |
2015-05-18 15:20 |
Aomori |
Yu-sa Asamushi |
A Method for Deciding Feasible Solution of Quadratic Assignment Problem from Mutually Connected Chaotic Neural Network Takafumi Matsuura (Nippon Inst. of Tech.), Tohru Ikeguchi (Tokyo Univ. Sci.) NLP2015-31 |
For finding good near-optimal solutions of quadratic assignment problems (QAPs), a heuristic method which uses a mutuall... [more] |
NLP2015-31 pp.23-28 |
NC, MBE |
2015-03-16 14:45 |
Tokyo |
Tamagawa University |
Reinforcement Learning based on Internal-Dynamics-Derived Exploration Using a Chaotic Neural Network Katsunari Shibata, Yuta Sakashita (Oita Univ.) MBE2014-166 NC2014-117 |
As a basic concept for emergence of intelligence through autonomous learning, exploration that is es- sential in reinfor... [more] |
MBE2014-166 NC2014-117 pp.277-282 |
NLP |
2015-01-26 10:25 |
Oita |
Compal Hall |
A flooding sheme considering battery level in wireless sensor networks using chaotic neural networks Ryohei Sato, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2014-114 |
In this paper, efficient ooding schemes in wireless sensor networks are considered.
Based on our previous scheme using... [more] |
NLP2014-114 pp.7-12 |
NLP |
2014-07-21 14:30 |
Hokkaido |
Hakodate City Central Library |
Digital Circuit Implementation of a Cost Calculation for Partial-update Exponential Chaotic Tabu Search Hardware Systems Takeshi Miura, Masato Ozawa, Takemori Orima, Yoshihiko Horio (Tokyo Denki Univ.) NLP2014-34 |
The exponential chaotic tabu search is an efficient meta-heuristic algorithm for combinatorial optimization problems. Ba... [more] |
NLP2014-34 pp.17-22 |
NLP |
2014-01-21 15:00 |
Hokkaido |
Niseko Park Hotel |
A prototype switched-current chaotic neuron integrated circuit for the parallel updating chaotic tabu search hardware system Akihito Toyoda, Syu Tanaka, Yoshihiko Horio (Tokyo Denki Univ.), Kazuyuki Aihara (Univ. of Tokyo) NLP2013-140 |
An exponential chaotic tabu search, in which the tabu search is driven by chaotic neurodynamics, has been proposed and a... [more] |
NLP2013-140 pp.63-66 |
NLP |
2014-01-21 16:00 |
Hokkaido |
Niseko Park Hotel |
Analog/Digital Hybrid Hardware System Architecture for Parallel Updating Exponential Chaotic Tabu Search Masato Ozawa, Akihito Toyoda, Yoshihiko Horio (Tokyo Denki Univ.), Kazuyuki Aihara (Univ. of Tokyo) NLP2013-143 |
The analog/digital hybrid hardware system for the synchronous updating exponential chaotic tabu search has been proposed... [more] |
NLP2013-143 pp.77-81 |
NLP |
2013-12-07 10:25 |
Overseas |
City University of Hong Kong |
A Switched-Current Chaotic Neuron IC Prototype for Synchronous Exponential Chaotic Tabu Search Syu Tanaka, Akihito Toyoda, Yoshihiko Horio (Tokyo Denki University), Kazuyuki Aihara (Univ. of Tokyo) NLP2013-125 |
We design a switched-current (SI) chaotic neuron integrated circuit, which is suitable for a large-size analog/digital h... [more] |
NLP2013-125 pp.65-69 |
NLP |
2013-05-28 10:15 |
Fukuoka |
Event hall, Central Library, Fukuoka University |
An Efficient Flooding Scheme in Large-scale Wireless Sensor Networks Using Two-stage Optimization Ryohei Sato, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2013-21 |
In this paper, we propose a two-stage optimization method for the purpose of efficient flooding in wireless sensor netwo... [more] |
NLP2013-21 pp.65-70 |