Application of MLR, BP and PCA-BP Neural Network for Predicting FeO in Bottom-Blowing O2-CaO Converter

Evaluate and Predict the Resist Electric Current and Compressive Strength of Concrete Modified with GGBS and Steelmaking Slag Using Mathematical Models

(2022) Nzar Shakr Piro et al.   Journal of Sustainable Metallurgy

Evaluation and Modeling of Scrap Utilization in the Steelmaking Process

(2021) Ming Gao et al.   JOM

Prediction Model of End-point Phosphorus Content in Consteel Electric Furnace Based on PCA-Extra Tree Model

(2021) Chao Chen et al.   ISIJ INTERNATIONAL

Study on metallurgical characteristics of the bottom-blown O2–CaO converter

(2020) Yun Zhou et al.   IRONMAKING & STEELMAKING

Prediction model of end-point phosphorus content in BOF steelmaking process based on PCA and BP neural network

(2018) Fei He et al.   JOURNAL OF PROCESS CONTROL

Economic and Qualitative Determinants of the World Steel Production

(2017) Amelia Bucur et al.   Metals

Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment

(2013) Sasmita Sahoo et al.   HYDROGEOLOGY JOURNAL

Prediction Model of End-point Manganese Content for BOF Steelmaking Process

(2012) Zhou Wang et al.   ISIJ INTERNATIONAL

Comparison of multiple linear regression and artificial neural network in developing the objective functions of the orthopaedic screws

(2010) Ching-Chi Hsu et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Dissolution of Lime in Synthetic ‘FeO’-SiO2 and CaO-‘FeO’-SiO2 Slags

(2010) T. Deng et al.   STEEL RESEARCH INTERNATIONAL

Double Slag Operation Dephosphorization in BOF for Producing Low Phosphorus Steel

(2009) Zhi-hong TIAN et al.   JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL

Kinetics Behavior of Iron Oxide Formation under the Condition of Oxygen Top Blowing for Dephosphorization of Hot Metal in the Basic Oxygen Furnace

(2009) Akitoshi Matsui et al.   TETSU TO HAGANE-JOURNAL OF THE IRON AND STEEL INSTITUTE OF JAPAN