Universal Approximation Abilities of a Modular Differentiable Neural Network-Reference-Cited by-同舟云学术

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Universal Approximation Abilities of a Modular Differentiable Neural Network

Published:2024 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Wang Jian¹^ORCID,Wu Shujun¹^ORCID,Zhang Huaqing¹^ORCID,Yuan Bin²^ORCID,Dai Caili²,Pal Nikhil R.³^ORCID

Affiliation:

1. College of Science, China University of Petroleum (East China), Qingdao, China

2. College of Petroleum Engineering, China University of Petroleum (East China), Qingdao, China

3. Electronics and Communication Sciences Unit and the Centre for Artificial Intelligence and Machine Learning, Indian Statistical Institute, Kolkata, India

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

China-Central and Eastern European Countries (CEEC) Higher Education Institutions Consortium Program

Introduction Plan for High Talent Foreign Experts

“The Belt and Road” Innovative Talents Exchange Foreign Experts Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10488146.pdf?arnumber=10488146

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