Low‐complexity neuron for fixed‐point artificial neural networks with ReLU activation function in energy‐constrained wireless applications-Reference-Cited by-同舟云学术

Low‐complexity neuron for fixed‐point artificial neural networks with ReLU activation function in energy‐constrained wireless applications

Published:2021-03 Issue:7 Volume:15 Page:917-923
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Chin Wen‐Long¹,Zhang Qinyu¹,Jiang Tao²

Affiliation:

1. Department of Engineering Science National Cheng Kung University Taiwan

2. School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan China

Funder

Ministry of Science and Technology, Taiwan

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12129

Reference30 articles.

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4. Iterative Synchronization-Assisted Detection of OFDM Signals in Cognitive Radio Systems

5. Decision‐fusion‐based reliable CSS scheme in CR networks

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