Single-layer folded RNN for time series prediction and classification under a non-Von Neumann architecture-Reference-Cited by-同舟云学术

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Single-layer folded RNN for time series prediction and classification under a non-Von Neumann architecture

Published:2024-04 Issue: Volume:147 Page:104415
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Zhou Wenjun,Zhu Chuan,Ma Jianmin^ORCID

Publisher

Elsevier BV

Reference40 articles.

1. Financial time series forecasting with deep learning: a systematic literature review: 2005–2019;Sezer;Appl. Soft Comput.,2020

2. Cramming more components onto integrated circuits;Moore;Proc. IEEE,1998

3. What's next? [the end of Moore's law];Williams;Comput. Sci. Eng.,2017

4. Towards energy efficient non-von Neumann architectures for deep learning;Ganguly,2019

5. Analog optical computing for artificial intelligence;Wu;Engineering,2022

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