Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy-Reference-Cited by-同舟云学术

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Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Otaka Naoya,Fukuyama Yoshikazu,Kawamura Yu,Murakami Kenya,Santana Adamo,Iizaka Tatsuya,Matsui Tetsuro

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9178820/9185488/09185511.pdf?arnumber=9185511

Cited by 4 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. Refrigerated Showcase Fault Detection by an Autoencoder with Coin Betting and Maximum Correntropy Criterion;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

2. Temporal Local Correntropy Representation for Fault Diagnosis of Machines;IEEE Transactions on Industrial Informatics;2023-12

3. Refrigerated Showcase Fault Detection by an Autoencoder with the Adaptive Kernel Size Tuning using Maximum Correntropy Criterion;2022 IEEE Symposium Series on Computational Intelligence (SSCI);2022-12-04

4. Refrigerated Showcase Fault Detection by an Artificial Neural Network using Correntropy with Improved Adaptive Kernel Size Tuning;2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia);2022-05-15

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