Research on soft sensing of cement clinker f-CaO based on LS_SVM and burning zone temperature-Reference-Cited by-同舟云学术

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Research on soft sensing of cement clinker f-CaO based on LS_SVM and burning zone temperature

Published:2018-06 Issue: Volume: Page:
ISSN:
Container-title:2018 Chinese Control And Decision Conference (CCDC)
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Author:

Yu Hongliang,Zhang Rongfeng,Meng Qingjin,Lu Shizeng

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8396318/8407034/08408248.pdf?arnumber=8408248

Cited by 8 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. Feature Constrained Encoding Generative Adversarial Prediction Network for Quality Measurement Modeling Under Multitime Scales Data Imbalance In Process Industry;IEEE Sensors Journal;2024-07-01

2. Improving cement production process with data-augmented sequence to sequence-Wasserstein generative adversarial networks model for accurate prediction of f-CaO;Review of Scientific Instruments;2023-10-01

3. Real-time prediction of free lime in cement clinker using support vector machine algorithm;2023 4th International Conference on Big Data Analytics and Practices (IBDAP);2023-08-25

4. A Soft Sensor Model for Predicting Cement-Specific Surface Area Based on Convolution Fast Recurrent Unit Network;IEEE Sensors Journal;2023-01-01

5. A Soft Sensor Model for Cement Specific Surface Area Based on TCN-ASRU Neural Network;IEEE Transactions on Instrumentation and Measurement;2023

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