Accurate and Efficient Quantized Reservoir Computing System

Author(s):  
Shiya Liu ◽  
Yibin Liang ◽  
Victor Gan ◽  
Lingjia Liu ◽  
Yang Yi
Author(s):  
Alejandro Morán ◽  
Vincent Canals ◽  
Fabio Galan-Prado ◽  
Christian F. Frasser ◽  
Dhinakar Radhakrishnan ◽  
...  

2021 ◽  
Author(s):  
Md Razuan Hossain ◽  
Joseph S. Najem ◽  
Tauhidur Rahman ◽  
Md Sakib Hasan

2019 ◽  
Vol 2 (10) ◽  
pp. 480-487 ◽  
Author(s):  
John Moon ◽  
Wen Ma ◽  
Jong Hoon Shin ◽  
Fuxi Cai ◽  
Chao Du ◽  
...  

2020 ◽  
Vol 59 (23) ◽  
pp. 6932
Author(s):  
Qingqing Zeng ◽  
Zhengmao Wu ◽  
Dianzuo Yue ◽  
Xiangsheng Tan ◽  
Junyao Tao ◽  
...  

Entropy ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 231 ◽  
Author(s):  
Xiurong Bao ◽  
Qingchun Zhao ◽  
Hongxi Yin

In this paper, a multiple-input multiple-output reservoir computing (RC) system is proposed, which is composed of multiple nonlinear nodes (Mach–Zehnder modulators) and multiple mutual-coupling loops of optoelectronic delay lines. Each input signal is added into every mutual-coupling loop to implement the simultaneous recognition of multiple route signals, which results in the signal processing speed improving and the number of routes increasing. As an example, the four-route input and four-route output RC is simultaneously realized by numerical simulations. The results show that this type of RC system can successfully recognize the four-route optical packet headers with 3-bit, 8-bit, 16-bit, and 32-bit, and four-route independent digital speeches. When the white noise is added to the signals such that the signal-to-noise ratio (SNR) of the optical packet headers and the digital speeches are 35 dB and 20 dB respectively, the normalized root mean square errors (NRMSEs) of the signal recognition are all close to 0.1. The word error rates (WERs) of the optical packet header recognition are 0%. The WER of the digital speech recognition is 1.6%. The eight-route input and eight-route output RC is also numerically simulated. The recognition of the eight-route 3-bit optical packet headers is implemented. The parallel processing of multiple-route signals and the high recognition accuracy are implemented by this proposed system.


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