scholarly journals Experimental study on parallel and analog optical reservoir computing with delayed feedback system for physical implementation

2019 ◽  
Vol 10 (2) ◽  
pp. 236-248 ◽  
Author(s):  
Tadashi Okumura ◽  
Mitsuharu Tai ◽  
Masahiko Ando
Keyword(s):  
Experimental Study ◽  
Feedback System ◽  
Delayed Feedback ◽  
Reservoir Computing ◽  
Physical Implementation

scholarly journals Novel nondelay-based reservoir computing with a single micromechanical nonlinear resonator for high-efficiency information processing

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Jie Sun ◽  
Wuhao Yang ◽  
Tianyi Zheng ◽  
Xingyin Xiong ◽  
Yunfei Liu ◽  
...  
Keyword(s):  
Nonlinear Dynamics ◽  
Information Processing ◽  
Feedback Loop ◽  
Nonlinear Response ◽  
High Efficiency ◽  
Moving Average ◽  
Feedback System ◽  
Human Motion ◽  
Delayed Feedback ◽  
Reservoir Computing

AbstractReservoir computing is a potential neuromorphic paradigm for promoting future disruptive applications in the era of the Internet of Things, owing to its well-known low training cost and compatibility with hardware. It has been successfully implemented by injecting an input signal into a spatially extended reservoir of nonlinear nodes or a temporally extended reservoir of a delayed feedback system to perform temporal information processing. Here we propose a novel nondelay-based reservoir computer using only a single micromechanical resonator with hybrid nonlinear dynamics that removes the usually required delayed feedback loop. The hybrid nonlinear dynamics of the resonator comprise a transient nonlinear response, and a Duffing nonlinear response is first used for reservoir computing. Due to the richness of this nonlinearity, the usually required delayed feedback loop can be omitted. To further simplify and improve the efficiency of reservoir computing, a self-masking process is utilized in our novel reservoir computer. Specifically, we numerically and experimentally demonstrate its excellent performance, and our system achieves a high recognition accuracy of 93% on a handwritten digit recognition benchmark and a normalized mean square error of 0.051 in a nonlinear autoregressive moving average task, which reveals its memory capacity. Furthermore, it also achieves 97.17 ± 1% accuracy on an actual human motion gesture classification task constructed from a six-axis IMU sensor. These remarkable results verify the feasibility of our system and open up a new pathway for the hardware implementation of reservoir computing.

Improving the security of optoelectronic delayed feedback system by parameter modulation and system coupling

2016 ◽  
Vol 55 (2) ◽  
pp. 026101 ◽  
Author(s):  
Lingfeng Liu ◽  
Suoxia Miao ◽  
Mengfan Cheng ◽  
Xiaojing Gao
Keyword(s):  
Feedback System ◽  
Delayed Feedback ◽  
Parameter Modulation ◽  
System Coupling

Hidden data transmission based on time-delayed feedback system with switched delay time

2012 ◽  
Vol 38 (1) ◽  
pp. 51-54 ◽  
Author(s):  
V. I. Ponomarenko ◽  
A. S. Karavaev ◽  
E. E. Glukhovskaya ◽  
M. D. Prokhorov
Keyword(s):  
Data Transmission ◽  
Delay Time ◽  
Feedback System ◽  
Delayed Feedback ◽  
Hidden Data ◽  
Time Delayed Feedback
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