Novel, parallel and differential synaptic architecture based on NAND flash memory for high-density and highly-reliable binary neural networks-Reference-Cited by-同舟云学术

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Novel, parallel and differential synaptic architecture based on NAND flash memory for high-density and highly-reliable binary neural networks

Published:2022-08 Issue: Volume:498 Page:1-13
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Lee Sung-Tae,Kim Hyeongsu,Yoo Honam,Kwon Dongseok,Lee Jong-Ho

Funder

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Seoul National University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference33 articles.

1. Deep learning;LeCun;Nature,2015

2. Human tracking using convolutional neural networks;Fan;IEEE Trans. Neural Networks,2010

3. Deep visual-semantic alignments for generating image descriptions;Karpathy,2015

4. Deep Residual Learning for Image Recognition;He,2016

5. Implementation and evaluation of deep neural networks (DNN) on mainstream heterogeneous system;Gu,2014

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1. Logic-oriented fuzzy neural networks: A survey;Expert Systems with Applications;2024-12

2. Review of neuromorphic computing based on NAND flash memory;Nanoscale Horizons;2024

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