High-Temperature Deformation Constitutive Model of Zircaloy-4 Based on the Support Vector Regression Algorithm during Hot Rolling

Modeling shear strength of medium- to ultra-high-strength concrete beams with stirrups using SVR and genetic algorithm

(2021) Chun-Song Jiang et al.   SOFT COMPUTING

A Hybrid PSO–SVM Model Based on Safety Risk Prediction for the Design Process in Metro Station Construction

(2020) Ping Liu et al.   International Journal of Environmental Research and Public Health

Hot deformation behavior and processing map of Zr-4 alloy

(2020) Jianjun Liu et al.   JOURNAL OF NUCLEAR MATERIALS

Effect of strip edge temperature drop of electrical steel on profile and flatness during hot rolling process

(2019) Yanlin Li et al.   Advances in Mechanical Engineering

A strategy to control microstructures of a Ni-based superalloy during hot forging based on particle swarm optimization algorithm

(2019) Dong-Dong Chen et al.   Advances in Manufacturing

Application of optimized machine learning techniques for prediction of occupational accidents

(2018) Sobhan Sarkar et al.   COMPUTERS & OPERATIONS RESEARCH

Integrated design of roll contours for strip edge drop and crown control in tandem cold rolling mills

(2018) Jian-guo Cao et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

A New Predictive Model for Strip Crown in Hot Rolling by Using the Hybrid AMPSO-SVR-Based Approach

(2018) Zhen-Hua Wang et al.   STEEL RESEARCH INTERNATIONAL

Microstructural evolution and support vector regression model for an aged Ni-based superalloy during two-stage hot forming with stepped strain rates

(2018) Dao-Guang He et al.   MATERIALS & DESIGN

Study on Driving Decision-Making Mechanism of Autonomous Vehicle Based on an Optimized Support Vector Machine Regression

(2017) et al.   Applied Sciences-Basel

Accurate Descriptions of Hot Flow Behaviors Across β Transus of Ti-6Al-4V Alloy by Intelligence Algorithm GA-SVR

(2016) Li-yong Wang et al.   JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE

A Study on Deformation Behavior of 304L Stainless Steel During and After Plate Rolling at Elevated Temperatures

(2016) P. Pourabdollah et al.   JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE

SUPPORT VECTOR MACHINES IN STRUCTURAL ENGINEERING: A REVIEW

(2015) Abdulkadir Çevik et al.   Journal of Civil Engineering and Management

Hot deformation behavior and constitutive model of TC18 alloy during compression

(2014) Bao-Hua Jia et al.   RARE METALS

Prediction and control of equiaxed α in near-β forging of TA15 Ti-alloy based on BP neural network: For purpose of tri-modal microstructure

(2013) Zhichao Sun et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Modeling the hot working behavior of near-α titanium alloy IMI 834

(2013) I. Balasundar et al.   Progress in Natural Science-Materials 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

Prediction of the hot deformation behavior for Aermet100 steel using an artificial neural network

(2010) Guoliang Ji et al.   COMPUTATIONAL MATERIALS SCIENCE

A Model to Predict Recrystallization Kinetics in Hot Strip Rolling Using Combined Artificial Neural Network and Finite Elements

(2009) M. Seyed Salehi et al.   JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE