| 大会名称 |
| 2018年 総合大会 |
| 大会コ－ド |
| 2018G |
| 開催年 |
|
2018
|
| 発行日 |
|
|
| セッション番号 |
|
N-1
|
| セッション名 |
|
非線形問題
|
| 講演日 |
|
2018/3/20
|
| 講演場所(会議室等) |
|
５号館 2Ｆ 5203セミナー室
|
| 講演番号 |
|
N-1-2
|
| タイトル |
|
Time series prediction through chaotic neural network reservoir
|
| 著者名 |
|
○Théophane TASSY, Yoshihiko HORIO,
|
| キーワード |
|
Chaotic neuron network, Time series prediction, reservoir computing
|
| 抄録 |
|
The neurocomputing is a domain extending at a fast rate and with great promise of achievements. One of the recent breakthrough was reservoir computing. It has been used to efficiently predict time series, including chaotic ones. In order to predict those time series with greater accuracy, we propose to use a chaotic neural network model combined with reservoir computing. This deliberately introduces chaotic dynamics within the reservoir, to help the prediction of chaotic phenomena.
|
| 本文pdf |
|
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|
