Prediction of Mechanical Properties of Hot Rolled Strip Based on DBN and Composite Quantile Regression

Author:

Huang Siyu1,Tian Tong1

Affiliation:

1. College of Science, Wuhan University of Science and Technology, China

Publisher

ACM

Reference17 articles.

1. Application of SVM and PCA-CS algorithms for prediction of strip crown in hot strip rolling;Yafeng Ji;J. Journal of Central South University,2021

2. Root Cause Diagnosis of Head Narrowing in Hot Rolled Strip Based on Comparative Granger Causality;Fei He;J. China Mechanical Engineering,2021

3. Development of mathematical models for the prediction of mechanical properties of low carbon steel (LCS);Sgb;J. Materials Today: Proceedings,2021

4. Mechanical properties prediction models based on machine learning for hot rolled strip and application;Xiaodong Wang;J. Journal of Plasticity Engineering,2021

5. Development and application of on-line prediction model for mechanical properties of hot rolled strips;Deyong Hu;J. Steel Rolling,2021

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1. Semi-supervised Labeling Model Based on Gaussian Mixture in the Context of E-commerce Price Fraud;2022 4th International Conference on Robotics and Computer Vision (ICRCV);2022-09-25

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