[22p-A302-1~15] FS.1 フォーカストセッション「AIエレクトロニクス」

13:45 〜 14:00英語発表

[22p-A302-4] Model-free prediction of driven dynamical systems using reservoir computing

Kazuki Takashima¹, 〇(P)Andre Roehm¹, Takatomo Mihana¹, Ryoichi Horisaki¹, Makoto Naruse¹ (1.Univ. of Tokyo)

キーワード：

reservoir computing、dynamical system、echo state network

We investigate an alternative way to predict the dynamics of driven systems. Instead of developing a mathematical model, we propose to use a simple reservoir computing system for model-free prediction. We demonstrate our scheme in a simple scenario, where we can successfully predict the response of a target system to novel stimuli.