Application of artificial neural networks throughout the entire life cycle of coatings: A comprehensive review-Reference-Cited by-同舟云学术

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Application of artificial neural networks throughout the entire life cycle of coatings: A comprehensive review

Published:2024-04 Issue: Volume:189 Page:108279
ISSN:0300-9440
Container-title:Progress in Organic Coatings
language:en
Short-container-title:Progress in Organic Coatings

Author:

Ning Zenglei,Zhao Xia,Fan Liang,Peng Zhongbo,Ma Fubin,Jin Zuquan,Deng Junying,Duan Jizhou,Hou Baorong

Funder

Shandong Province Department of Science and Technology

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference135 articles.

1. Deep learning in neural networks: an overview;Schmidhuber;Neural Netw.,2015

2. State-of-the-art in artificial neural network applications: a survey;Abiodun;Heliyon,2018

3. Convolutional neural network improvement for breast cancer classification;Ting;Expert Syst. Appl.,2019

4. Tire lateral force estimation and grip potential identification using neural networks, extended Kalman filter, and recursive least squares;Acosta;Neural Comput. Appl.,2018

5. Flow behavior and BP neural network high temperatureconstitutive model of Ti-22Al-24Nb-0.5Y alloy;Zhou;J. Mater. Eng.,2019

Cited by 2 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. Advances in thermal barrier coatings modeling, simulation, and analysis: A review;Journal of the European Ceramic Society;2024-11

2. Optimization Strategies for Corrosion Management in Industries with Artificial Neural Network and Response Surface Technology: A Comprehensive Review;Journal of Bio- and Tribo-Corrosion;2024-06-11

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