A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems

Optimal Tracking Control of Nonlinear Multiagent Systems Using Internal Reinforce Q-Learning

(2021) Zhinan Peng et al.   IEEE Transactions on Neural Networks and Learning Systems

Hybrid safe–strong rules for efficient optimization in lasso-type problems

(2020) Yaohui Zeng et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Prediction Performance Improvement via Anomaly Detection and Correction of Actual Production Data in Iron Ore Sintering Process

(2020) Jie Hu et al.   IEEE Transactions on Industrial Informatics

Multiresource-Constrained Selective Disassembly With Maximal Profit and Minimal Energy Consumption

(2020) Xiwang Guo et al.   IEEE Transactions on Automation Science and Engineering

Attentional Residual Network for Necking Predictions in Hot Strip Mills

(2020) HongSeok Choi et al.   IEEE Transactions on Industrial Informatics

Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem

(2020) Ziyan Zhao et al.   IEEE-CAA Journal of Automatica Sinica

Heuristic Scheduling of Batch Production Processes Based on Petri Nets and Iterated Greedy Algorithms

(2020) Ziyan Zhao et al.   IEEE Transactions on Automation Science and Engineering

Application of neural networks for predicting hot-rolled strip crown

(2019) Jifei Deng et al.   APPLIED SOFT COMPUTING

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

A Stacked Autoencoder With Sparse Bayesian Regression for End-Point Prediction Problems in Steelmaking Process

(2019) Chang Liu et al.   IEEE Transactions on Automation Science and Engineering

Lexicographic Multiobjective Scatter Search for the Optimization of Sequence-Dependent Selective Disassembly Subject to Multiresource Constraints

(2019) Xiwang Guo et al.   IEEE Transactions on Cybernetics

Dual-Objective Program and Scatter Search for the Optimization of Disassembly Sequences Subject to Multiresource Constraints

(2018) Xiwang Guo et al.   IEEE Transactions on Automation Science and Engineering

Balancing the trade-off between accuracy and interpretability in software defect prediction

(2018) Toshiki Mori et al.   EMPIRICAL SOFTWARE ENGINEERING

Spatial Task Scheduling for Cost Minimization in Distributed Green Cloud Data Centers

(2018)   IEEE Transactions on Automation Science and Engineering

Extracting Significant Mobile Phone Interaction Patterns Based on Community Structures

(2018) Mohammadhossein Ghahramani et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Data-Based Predictive Optimization for Byproduct Gas System in Steel Industry

(2017) Jun Zhao et al.   IEEE Transactions on Automation Science and Engineering

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

TRS: Temporal Request Scheduling with bounded delay assurance in a green cloud data center

(2016) Jing Bi et al.   INFORMATION SCIENCES

Disassembly Sequence Optimization for Large-Scale Products With Multiresource Constraints Using Scatter Search and Petri Nets

(2016) Xiwang Guo et al.   IEEE Transactions on Cybernetics

GA-PARSIMONY: A GA-SVR approach with feature selection and parameter optimization to obtain parsimonious solutions for predicting temperature settings in a continuous annealing furnace

(2015) A. Sanz-Garcia et al.   APPLIED SOFT COMPUTING

Modeling of steelmaking process with effective machine learning techniques

(2015) Dipak Laha et al.   EXPERT SYSTEMS WITH APPLICATIONS

Data cleaning in the process industries

(2015) Shu Xu et al.   REVIEWS IN CHEMICAL ENGINEERING

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

(2014) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?

(2014) Fionn Murtagh et al.   JOURNAL OF CLASSIFICATION

Prediction of Mechanical Properties of Hot Rolled Strip by Using Semi-Parametric Single-Index Model

(2013) Yong-hong ZHAO et al.   JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL

Data-driven based model for flow prediction of steam system in steel industry

(2012) Ying Liu et al.   INFORMATION SCIENCES

An On-Line Hierarchical Decomposition Based Bayesian Model for Quality Prediction during Hot Strip Rolling

(2012) Kuldeep Agarwal et al.   ISIJ INTERNATIONAL

Fault diagnosis and comparing risk for the steel coil manufacturing process using statistical models for binary data

(2012) A. Debón et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A Selective Review of Group Selection in High-Dimensional Models

(2012) Jian Huang et al.   STATISTICAL SCIENCE

Evolutionary Algorithm Approaches to Modeling of Flow Stress

(2011) Miran Brezocnik et al.   MATERIALS AND MANUFACTURING PROCESSES

A Useful Control Model for Tandem Hot Metal Strip Rolling

(2010) John Pittner et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Optimization of Short Stroke Control Preset for Automatic Width Control of Hot Rolling Mill

(2010) Xiao-zhong DU et al.   JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL

Hybrid neural–GA model to predict and minimise flatness value of hot rolled strips

(2007) Shylu John et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY