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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, CCS 2021-06-11
15:20		 Online Online (Online) 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 (TDK), Tetsuya Asai (Hokkaido Univ.) NLP2021-10 CCS2021-10		 In this work, we propose a parameter tuning method based on mutual information criteria for MEMS (Micro Electro Mechanic... [more] NLP2021-10 CCS2021-10
pp.45-50
NLP, NC
(Joint)		 2020-01-24
16:10		 Okinawa Miyakojima Marine Terminal (Okinawa) 26-bit 400-neuron 0.3-ksps FORCE Learning FPGA Core for Reservoir Computing
koyo Minamikawa, Shunya Suzuki, Megumi Akai-Kasaya, Tetsuya asai (Hokkaido Univ.) NLP2019-98		 Reservoir Computing (RC) is a type of Recurrent Neural Network (RNN) and are used for processing time series.
Since the... [more]		 NLP2019-98
pp.67-72
NLP, NC
(Joint)		 2020-01-24
16:30		 Okinawa Miyakojima Marine Terminal (Okinawa) Electronic implementation of a physical reservoir composed of discrete semiconductor devices
Shunya Suzuki, Koyo Minamikawa, Megumi Akai-Kasaya, Tetuya Asai (Hokkaido Univ.) NLP2019-99		 Reservoir computing is a recurrent neural network that has loop structures. The main difference from typical recurrent n... [more] NLP2019-99
pp.73-78
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