Efficient and reconfigurable reservoir computing to realize alphabet pronunciation recognition based on processing-in-memory-Reference-Cited by-同舟云学术

Efficient and reconfigurable reservoir computing to realize alphabet pronunciation recognition based on processing-in-memory

Published:2021-09-06 Issue:10 Volume:119 Page:102103
ISSN:0003-6951
Container-title:Applied Physics Letters
language:en
Short-container-title:Appl. Phys. Lett.

Author:

Liu Shuang¹,Wu Yuancong¹,Xiong Canlong¹,Liu Yihe¹,Yang Jing¹,Yu Q.¹^ORCID,Hu S. G.¹,Chen T. P.²^ORCID,Liu Y.¹^ORCID

Affiliation:

1. State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, People's Republic of China

2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore

Funder

National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Physics and Astronomy (miscellaneous)

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0057132

Reference27 articles.

1. Smart electronic skin having gesture recognition function by LSTM neural network

2. Design of a Neural Network-Based VCO With High Linearity and Wide Tuning Range

3. Realization of a Power-Efficient Transmitter Based on Integrated Artificial Neural Network

4. An energy-efficient deep convolutional neural networks coprocessor for multi-object detection

5. Memristor networks for real-time neural activity analysis

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