Refrigerated Showcase Fault Detection by an Artificial Neural Network using Correntropy with Improved Adaptive Kernel Size Tuning

Author:

Igarashi Masato1,Fukuyama Yoshikazu1,Shimasaki Yuichi2,Osada Yuto2,Murakami Kenya2,Iizaka Tatsuya2,Santana Adamo2,Matsui Tetsuro2

Affiliation:

1. School of Interdisciplinary Mathematical Sciences, Meiji University,Tokyo,Japan

2. Fuji Electric Co., Ltd.,Tokyo,Japan

Publisher

IEEE

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

Cited by 3 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. 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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