Point and interval prediction of the effective length of hot-rolled plates based on IBES-XGBoost
出版年份 2023 全文链接
标题
Point and interval prediction of the effective length of hot-rolled plates based on IBES-XGBoost
作者
关键词
-
出版物
MEASUREMENT
Volume 214, Issue -, Pages 112857
出版商
Elsevier BV
发表日期
2023-04-07
DOI
10.1016/j.measurement.2023.112857
参考文献
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- (2022) Lu Ma et al. ENGINEERING STRUCTURES
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- (2022) Shuai Zhao et al. MEASUREMENT
- Echo state network with logistic mapping and bias dropout for time series prediction
- (2022) Heshan Wang et al. NEUROCOMPUTING
- An integrated model of rolling force for extra-thick plate by combining theoretical model and neural network model
- (2022) Shun Hu Zhang et al. Journal of Manufacturing Processes
- Prediction and analysis of key parameters of head deformation of hot-rolled plates based on artificial neural networks
- (2022) Zishuo Dong et al. Journal of Manufacturing Processes
- Mass flow prediction in a refrigeration machine using artificial neural networks
- (2022) Vinícius David Fonseca et al. APPLIED THERMAL ENGINEERING
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- (2021) Hai Tao et al. INFORMATION SCIENCES
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- (2021) Jing Guo Ding et al. ISIJ INTERNATIONAL
- Integrated FFT and XGBoost framework to predict pavement skid resistance using automatic 3D texture measurement
- (2021) You Zhan et al. MEASUREMENT
- A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems
- (2021) Yingjun Ji et al. INFORMATION SCIENCES
- A Comparative Assessment of Six Machine Learning Models for Prediction of Bending Force in Hot Strip Rolling Process
- (2020) Xu Li et al. Metals
- Modeling and optimization of coal blending and coking costs using coal petrography
- (2020) Yan Yuan et al. INFORMATION SCIENCES
- Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost
- (2020) Chen Wang et al. PATTERN RECOGNITION LETTERS
- Multi-objective prediction intervals for wind power forecast based on deep neural networks
- (2020) Min Zhou et al. INFORMATION SCIENCES
- Using recurrent neural networks with attention for detecting problematic slab shapes in steel rolling
- (2019) Niclas Ståhl et al. APPLIED MATHEMATICAL MODELLING
- Novel meta-heuristic bald eagle search optimisation algorithm
- (2019) H. A. Alsattar et al. ARTIFICIAL INTELLIGENCE REVIEW
- A New Data-driven Roll Force and Roll Torque Model Based on FEM and Hybrid PSO-ELM for Hot Strip Rolling
- (2019) Zhenhua Wang et al. ISIJ INTERNATIONAL
- Prediction of edge profile of plate during hot cross rolling
- (2018) Matruprasad Rout et al. Journal of Manufacturing Processes
- Prediction of bending force in the hot strip rolling process using artificial neural network and genetic algorithm (ANN-GA)
- (2017) Zhen-Hua Wang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- The Whale Optimization Algorithm
- (2016) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Finite element simulation of a cross rolling process
- (2016) Matruprasad Rout et al. Journal of Manufacturing Processes
- Analysis and prediction of fishtail during V-H hot rolling process
- (2015) Xu Li et al. Journal of Central South University
- Broadside Compensation Rolling Model for Plan View Pattern Control in Wide and Heavy Plate Rolling Process
- (2014) Jin-hua RUAN et al. JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL
- Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills
- (2013) Francisco Serdio et al. INFORMATION SCIENCES
- 3D FE modelling of plate shape during heavy plate rolling
- (2013) J. H. Ruan et al. IRONMAKING & STEELMAKING
- Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances
- (2011) A. Khosravi et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Precision Plate Plan View Pattern Predictive Model
- (2011) Yang ZHAO et al. JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL
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