Application of Probabilistic Neural Network in the Rolling Rhythm Evaluation of Hot Strip Mill

Chao Chao Chen; An Rui He; Jian Shao; Jian Hua Liu; Jie Zhou

doi:10.4028/www.scientific.net/AMR.572.67

Paper Titles

Technology Innovation of Short Stress Path Mill and Flying Shear
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Research of Smith Monitor AGC Based on Active Disturbance Rejection Control
p.49

Technical Characteristics and Application for a New Type of 8-Roll Cold Rolling Mill
p.55

Research and Application on Spring Model of Hot Strip Mill
p.61

Application of Probabilistic Neural Network in the Rolling Rhythm Evaluation of Hot Strip Mill
p.67

Research in Hot-Rolling Downcoiler Dynamic Torque Control
p.72

BAOSTEEL Edge Drop Control System Used on 1420mm Cold Tandem Mill
p.78

Study on the Relationship between Chatter Mark Vibration and Rolling Skid for a Twenty-High Roll Mill Based on the Measured Torsional Strain of the Main Drive Shaft
p.82

Situations and Prospects of the Study on Steel Warm Rolling Technology
p.88

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 572Application of Probabilistic Neural Network in the...

Application of Probabilistic Neural Network in the Rolling Rhythm Evaluation of Hot Strip Mill

Abstract:

In this paper, the probabilistic neural network and prediction thought are combined to evaluate hot rolling rhythm. An evaluation model of hot rolling rhythm based on PNN network is established. To verify the validity of the model and predicted results, the PNN network model is applied to practical production of a hot strip mill and proves to be a model of simple structure, fast calculation, high prediction accuracy and strong generalization ability, which is able to substitute for the conventional evaluation model based on the empirical formula and empirical data.