A Comparative Assessment of Six Machine Learning Models for Prediction of Bending Force in Hot Strip Rolling Process

Application of neural networks for predicting hot-rolled strip crown

(2019) Jifei Deng et al.   APPLIED SOFT COMPUTING

Modeling of rolling force of ultra-heavy plate considering the influence of deformation penetration rate

(2019) Shun Hu Zhang et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

Optimization of Metal Rolling Control Using Soft Computing Approaches: A Review

(2019) Ziyu Hu et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Digestate evaporation treatment in biogas plants: A techno-economic assessment by Monte Carlo, neural networks and decision trees

(2019) Marek Vondra et al.   JOURNAL OF CLEANER PRODUCTION

Streamflow prediction using LASSO-FCM-DBN approach based on hydro-meteorological condition classification

(2019) Haibo Chu et al.   JOURNAL OF HYDROLOGY

Upper bound analysis of a shape-dependent criterion for closing central rectangular defects during hot rolling

(2018) Shun Hu Zhang et al.   APPLIED MATHEMATICAL MODELLING

A new strategy of least absolute shrinkage and selection operator coupled with sampling error profile analysis for wavelength selection

(2018) Ruoqiu Zhang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Gaussian process regression for tool wear prediction

(2018) Dongdong Kong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China

(2018) Junliang Fan et al.   AGRICULTURAL AND FOREST METEOROLOGY

Decision tree analysis for efficient CO2 utilization in electrochemical systems

(2018) M. Erdem Günay et al.   Journal of CO2 Utilization

Understanding and comparing scalable Gaussian process regression for big data

(2018) Haitao Liu et al.   KNOWLEDGE-BASED SYSTEMS

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

Analysis of symmetrical flatness actuator efficiencies for UCM cold rolling mill by 3D elastic–plastic FEM

(2017) Qing-Long Wang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

An integrated Gaussian process regression for prediction of remaining useful life of slow speed bearings based on acoustic emission

(2017) S.A. Aye et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point

(2017) Mohammad Ali Ghorbani et al.   SOIL & TILLAGE RESEARCH

A Gaussian process regression based hybrid approach for short-term wind speed prediction

(2016) Chi Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Prediction of roll force in skin pass rolling using numerical and artificial neural network methods

(2016) Y. Mahmoodkhani et al.   IRONMAKING & STEELMAKING

Molten steel temperature prediction model based on bootstrap Feature Subsets Ensemble Regression Trees

(2016) Xiaojun Wang et al.   KNOWLEDGE-BASED SYSTEMS

Support vector machine based modeling of evapotranspiration using hydro-climatic variables in a sub-tropical environment

(2015) N.K. Shrestha et al.   AGRICULTURAL AND FOREST METEOROLOGY

Gaussian process regression with multiple response variables

(2015) Bo Wang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Modeling of steelmaking process with effective machine learning techniques

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

Online prediction of work roll thermal expansion in a hot rolling process by a neural network

(2015) Hosein Alaei et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Adaptive Bayesian credible sets in regression with a Gaussian process prior

(2015) Suzanne Sniekers et al.   Electronic Journal of Statistics

Strip shape modeling and its setup strategy in hot strip mill process

(2014) Kaixiang Peng et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

DNorm: disease name normalization with pairwise learning to rank

(2013) R. Leaman et al.   BIOINFORMATICS

Modeling and Simulation of Hydraulic Roll Bending System Based on CMAC Neural Network and PID Coupling Control Strategy

(2013) Chun-yu JIA et al.   JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL

Application of artificial neural networks for the prediction of roll force and roll torque in hot strip rolling process

(2012) Mahdi Bagheripoor et al.   APPLIED MATHEMATICAL MODELLING

CART-based selection of bankruptcy predictors for the logit model

(2012) Arjana Brezigar-Masten et al.   EXPERT SYSTEMS WITH APPLICATIONS

A comparative assessment of ensemble learning for credit scoring

(2010) Gang Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Neural network model of the profile of hot-rolled strip

(2008) Sudipta Sikdar et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Mechanical Property Prediction of Strip Model Based on PSO-BP Neural Network

(2008) Ping WANG 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

Artificial Neural Network approach to predict mechanical properties of hot rolled, nonresulfurized, AISI 10xx series carbon steel bars

(2007) Mehmet Sirac Ozerdem et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY