Efficient Time-Multiplexed Realization of Feedforward Artificial Neural Networks-Reference-Cited by-同舟云学术

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Efficient Time-Multiplexed Realization of Feedforward Artificial Neural Networks

Published:2020-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Aksoy Levent,Parvin Sajjad,Nojehdeh Mohammadreza Esmali,Altun Mustafa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9179985/9180369/09181002.pdf?arnumber=9181002

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Regularization Approach to Maximize Common Sub-Expressions in Neural Network Weights;2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS);2023-12-04

2. Energy-Efficient Hardware Implementation of Fully Connected Artificial Neural Networks Using Approximate Arithmetic Blocks;Circuits, Systems, and Signal Processing;2023-04-24

3. Circuit Design Steps for Nano-Crossbar Arrays: Area-Delay-Power Optimization With Fault Tolerance;IEEE Transactions on Nanotechnology;2021

4. Efficient Hardware Implementation of Artificial Neural Networks Using Approximate Multiply-Accumulate Blocks;2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI);2020-07

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