Prediction of Strip Width in Roughing-Mill Group Based on PSO-LSSVM

Kangbo Dang,Jingcheng Wang,Chaobo Chen,Xueqin Yang

2021 International Conference on Computer Network, Electronic and Automation (ICCNEA)（2021）

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摘要

Aiming at the low accuracy of width prediction based on mechanism model in Roughing Mills of Hot Rolling Mills (RMHRM), this paper proposes a method of Particle Swarm Optimization (PSO) algorithm to optimize Support Vector Machine (SVM) prediction model parameters, in order to realize the real-time prediction of the strip width change in the rough rolling mill. Firstly, select input variables whic...

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关键词

Roughing Mills of Hot Rolling Mills (RMHRM),Strip Width Prediction,Particle Swarm Optimization(PSO),Least Square Support Vector Machine(LSSVM)

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