Refrigerated Showcase Fault Detection by an Artificial Neural Network using Correntropy with Improved Adaptive Kernel Size Tuning
Author:
Affiliation:
1. School of Interdisciplinary Mathematical Sciences, Meiji University,Tokyo,Japan
2. Fuji Electric Co., Ltd.,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9806820/9806821/09807036.pdf?arnumber=9807036
Reference17 articles.
1. Refrigerated Showcase Fault Analysis by a Correntropy Based Artificial Neural Network Using Particle Swarm Optimization
2. Refrigerated Showcase Fault analysis by a Correntropy based Artificial Neural Network Using Fast Brain Swarm Optimization;otaka;Proc 7th International Conference on Swarm Intelligence,0
3. Refrigerated Showcase Fault analysis by a Correntropy based Artificial Neural Network Using Modified Brain Swarm Optimization;otaka;Proc of IEEE SSCI,0
4. Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy
5. Daily Peak Load Forecasting by a Correntropy based Artificial Neural Network using an Adaptive Kernel Size Method Considering Outliers
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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. A Review of Applications of Artificial Intelligence Technologies to Energy Fields;IEEJ Transactions on Electronics, Information and Systems;2023-02-01
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
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