A mathematical model of a cold rolling mill by symbolic regression alpha-beta
Author:
Affiliation:
1. UANL, San Nicolas de los Garza, Mexico
2. Ternium, San Nicolas de los Garza, Mexico
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2598394.2609858
Reference12 articles.
1. Application of artificial neural networks for the prediction of roll force and roll torque in hot strip rolling process
2. A hybrid intelligent system for PID controller using in a steel rolling process
3. A new multi-objective genetic algorithm applied to hot-rolling process
4. Neural network modelling of flow stress and mechanical properties for hot strip rolling of TRIP steel using efficient learning algorithm
5. Modelling hot rolling manufacturing process using soft computing techniques
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1. Local machine learning model-based multi-objective optimization for managing system interdependencies in production: A case study from the ironmaking industry;Engineering Applications of Artificial Intelligence;2024-07
2. Stochastic model for setpoint of a rolling mill: an application in the soybean oil production;The International Journal of Advanced Manufacturing Technology;2022-06-09
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