Applying self-normalizing neural networks to tackle data-driven soft sensing problems in manufacturing lines-Reference-Cited by-同舟云学术

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Applying self-normalizing neural networks to tackle data-driven soft sensing problems in manufacturing lines

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Big Data (Big Data)
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Author:

Abdin Ali

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9671263/9671273/09671496.pdf?arnumber=9671496

Reference10 articles.

1. Short-term electricity load forecasting method based on multilayered self-normalizing GRU network

2. Self-normalizing neural networks;klambauer;International Conference on Neural Information Processing Systems,2017

3. Ensemble deep learning: A review;ganaie,2021

4. Focal loss for dense object detection;lin;IEEE Transactions on Pattern Analysis and Machine Intelligence,2020

5. LSTM: A Search Space Odyssey

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. A Soft Sensor for Multirate Quality Variables Based on MC-CNN;IEEE Transactions on Neural Networks and Learning Systems;2024

2. Novel Autoencoder Based on Variable Correlation Analysis for Industrial Soft Sensing;2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS);2023-05-12

3. Deep Learning-Assisted OFDM Channel Estimation and Signal Detection Technology;IEEE Communications Letters;2023-05

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