Presentation 2021-06-11
Improvement of Controllability of a Nonlinear MEMS Resonator Type Reservoir based on Mutual Information Criteria
Kazuki Nakada, Shunya Suzuki, Eiji Suzuki, Yukio Terasaki, Tomoyuki Sasaki, Tetsuya Asai,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this work, we propose a parameter tuning method based on mutual information criteria for MEMS (Micro Electro Mechanical Systems) Resonator-type Reservoir Computing. It is required for MEMS reservoirs to tune the balance of linear and nonlinear characteristics and to control their nonlinear behaviors depending on an external input, such as chaos and hysteresis. In our study, we focus on pre-training for machine learning called IP (Intrinsic Plasticity) learning, and apply it to controlling stochastic behaviors of MEMS reservoirs. First, we demonstrate simulation results on chaos suppression. Next, we show that our approach can improve prediction accuracy as compared to the conventional one.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Reservoir Computing / MEMS Resonator Array / Mutual Information Criteria / IP Learning / Chaos / Hysteresis
Paper # NLP2021-10,CCS2021-10
Date of Issue 2021-06-04 (NLP, CCS)

Conference Information
Committee NLP / CCS
Conference Date 2021/6/11(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Takuji Kousaka(Chukyo Univ.) / Tetsuya Asai(Hokkaido Univ.)
Vice Chair Akio Tsuneda(Kumamoto Univ.) / Megumi Akai(Hokkaido Univ.) / Masaki Aida(Tokyo Metropolitan Univ.)
Secretary Akio Tsuneda(Kagawa Univ.) / Megumi Akai(Sojo Univ.) / Masaki Aida(TDK)
Assistant Hideyuki Kato(Oita Univ.) / Yuichi Yokoi(Nagasaki Univ.) / Sumiko Miyata(Shibaura Inst. Tech.) / Hiroyasu Ando(Tsukuba Univ.) / Takashi Matsubara(Kobe Univ.) / Hidehiro Nakano(Tokyo City Univ.)

Paper Information
Registration To Technical Committee on Nonlinear Problems / Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improvement of Controllability of a Nonlinear MEMS Resonator Type Reservoir based on Mutual Information Criteria
Sub Title (in English)
Keyword(1) Reservoir Computing
Keyword(2) MEMS Resonator Array
Keyword(3) Mutual Information Criteria
Keyword(4) IP Learning
Keyword(5) Chaos
Keyword(6) Hysteresis
1st Author's Name Kazuki Nakada
1st Author's Affiliation TDK Corporation(TDK)
2nd Author's Name Shunya Suzuki
2nd Author's Affiliation TDK Corporation(TDK)
3rd Author's Name Eiji Suzuki
3rd Author's Affiliation TDK Corporation(TDK)
4th Author's Name Yukio Terasaki
4th Author's Affiliation TDK Corporation(TDK)
5th Author's Name Tomoyuki Sasaki
5th Author's Affiliation TDK Corporation(TDK)
6th Author's Name Tetsuya Asai
6th Author's Affiliation Hokkaido University(Hokkaido Univ.)
Date 2021-06-11
Paper # NLP2021-10,CCS2021-10
Volume (vol) vol.121
Number (no) NLP-61,CCS-62
Page pp.pp.45-50(NLP), pp.45-50(CCS),
#Pages 6
Date of Issue 2021-06-04 (NLP, CCS)