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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 58  /  [Next]  
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
 Results 1 - 20 of 58  /  [Next]  
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