Deep learning for electrolysis process anode effect prediction based on long short-term memory network and stacked denoising autoencoder-Reference-Cited by-同舟云学术

Deep learning for electrolysis process anode effect prediction based on long short-term memory network and stacked denoising autoencoder

Published:2024-07-11 Issue: Volume: Page:
ISSN:1001-0521
Container-title:Rare Metals
language:en
Short-container-title:Rare Met.

Author:

Yin Gang,Li Yi-Hui^ORCID,Yan Fei-Ya,Quan Peng-Cheng,Wang Min,Cao Wen-Qi,Xu Heng-Quan,Lu Jian,He Wen

Funder

the Chongqing Talent Innovation and Entrepreneurship Demonstration Team Project

the General Program of National Natural Science Foundation of China

the Major Projects for Technological Transformation

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12598-024-02766-x.pdf

Reference34 articles.

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