Application of feedforward neural networks for soft sensors in the sugar industry
Author:
Publisher
IEEE Comput. Soc
Link
http://xplorestaging.ieee.org/ielx5/8414/26520/01181426.pdf?arnumber=1181426
Cited by 14 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. Crystallization Process in the Sugar Industry: A Discussion On Fundamentals, Industrial Practices, Modeling, Estimation and Control;Food Engineering Reviews;2024-05-14
2. A model-based supersaturation estimator (inferential or soft-sensor) for industrial sugar crystallization process;Journal of Process Control;2023-09
3. A distributed soft sensors model for managing vague and uncertain multimedia communications using information fusion techniques;Alexandria Engineering Journal;2022-07
4. Virtual sensors: an industrial application for illumination attributes based on machine learning techniques;Annals of Telecommunications;2021-06-21
5. Data‐driven modeling for crystal size distribution parameters in cane sugar crystallization process;Journal of Food Process Engineering;2021-01-18
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