A Correntropy Based Artificial Neural Network using Early Stopping for Daily Peak Load Forecasting-Reference-Cited by-同舟云学术

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A Correntropy Based Artificial Neural Network using Early Stopping for Daily Peak Load Forecasting

Published:2020-09-23 Issue: Volume: Page:
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Container-title:2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)
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Author:

Sato Naoki,Fukuyama Yoshikazu,Iizaka Tatsuya,Matsui Tetsuro

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9240219/9240220/09240336.pdf?arnumber=9240336

Cited by 6 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. Convolutional Neural Networks: A Survey;Computers;2023-07-28

2. 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

3. Connection Phase Estimation of Pole Mounted Distribution Transformers by Integer Form of Population Based Incremental Learning Considering Measurement Errors and Outliers by Correntropy;2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE);2021-12-08

4. CCFD-Net: A novel deep learning model for credit card fraud detection;2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI);2021-08

5. Hyperparameter Tuning of a Correntropy based ANN for Daily Electric Power Peak Load Forecasting by Modified Brain Storm Optimization;2021 IEEE 15th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG);2021-07-14

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