Prediction of head thickness of hot-rolled strip based on deep neural network-Reference-Cited by-同舟云学术

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Prediction of head thickness of hot-rolled strip based on deep neural network

Published:2022-08-15 Issue: Volume: Page:
ISSN:
Container-title:2022 34th Chinese Control and Decision Conference (CCDC)
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Author:

Yuan Shangbin¹,Sun Jie¹,Di Hongshuang¹

Affiliation:

1. Northeastern University,State Key Laboratory of Rolling and Automation,Shenyang,110004

Funder

Research and Development

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Liaoning Revitalization Talents Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10032843/10032844/10033686.pdf?arnumber=10033686

Reference28 articles.

1. Particle swarm optimization algorithm: an overview

2. Optimization of Temperature and Force Adaptation Algorithm in Hot Strip Mill

3. A novel hybrid PSO–GA meta-heuristic for scheduling of DAG with communication on multiprocessor systems

4. Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm

5. The Optimization of Roll Force Model in Hot Strip Mill;ma;Advanced Materials Research,2014

Cited by 1 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. Mathematical Models and Algorithms in Constructing Decision Support System for Hot Rolling Mill Operator;2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA);2023-11-08

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