Radial Basis Function Neural Network-Based Modeling and Application of the Weight Prediction for Expanded Cut Tobacco Before Resurgence-Reference-Cited by-同舟云学术

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Radial Basis Function Neural Network-Based Modeling and Application of the Weight Prediction for Expanded Cut Tobacco Before Resurgence

Published:2023-12-22 Issue: Volume:53 Page:154-158
ISSN:
Container-title:Proceedings of the 2023 International Conference on Artificial Intelligence, Systems and Network Security
language:
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Author:

Qi Ji¹^ORCID,Shi Zhanwu²^ORCID,Li Mingxing¹^ORCID,Zhang Botao³^ORCID,Lu Yujie³^ORCID

Affiliation:

1. China Tobacco Zhejiang Industrial Co.,Ltd, China

2. Rockwell Automation(China) Co.,Ltd, China

3. HangZhou DianZi University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3661638.3661671

Reference10 articles.

1. Optimization design of dry ice tobacco flow control system before sublimation;Kq Hong;Tobacco Science and Technology,2020

2. A real-time control model for expanding tobacco flavoring based on parameter tuning PID algorithm;Ks Zhang;Bulletin of Science and Technology,2017

3. Study on the Stability of Moisture Content Control in Expanded Cut Tobacco;Zhang;Science and Technology Innovation Herald,2016

4. Dynamic soft measurement model of SO2 concentration in coal-fired units based on balance optimization algorithm-radial basis neural network;Jin XZ;Journal of North China Electric Power University (Natural Science Edition),2023

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