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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| 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 |
| 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 |
| NLP | 2009-11-11 11:10 |
Kagoshima | Chaotic Time Series Prediction by Combining Echo-State Networks and Radial Basis Function Networks Yoshitaka Itoh, Masaharu Adachi (Tokyo Denki Univ.) NLP2009-86 |
In this report, we describe a chaotic time series prediction method by a network which combines echo state networks (ES... [more] |
NLP2009-86 pp.27-30 |
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