Maoxiang Chu

发表

Multi-class classification method using twin support vector machines with multi-information for steel surface defects

Liming Liu, Rongfen Gong, Xiaoping Liu, 2018 .

Support vector machine with quantile hyper-spheres for pattern classification

Jie Zhao, Xiaoping Liu, Maoxiang Chu, 2019, PloS one.

Strip Steel Surface Defect Recognition Based on Novel Feature Extraction and Enhanced Least Squares Twin Support Vector Machine

Maoxiang Chu, Anna Wang, Mo Sha, 2014 .

Steel surface defects recognition based on multi-type statistical features and enhanced twin support vector machine

Jie Zhao, Song Gao, Maoxiang Chu, 2017 .

A New Process Industry Fault Diagnosis Algorithm Based on Ensemble Improved Binary-Tree SVM

Maoxiang Chu, Limei Liu, Anna Wang, 2015 .

A multi-class classifier based on support vector hyper-spheres for steel plate surface defects

Yao Feng, Maoxiang Chu, Yonghui Yang, 2019, Chemometrics and Intelligent Laboratory Systems.

Steel surface defect classification using multiple hyper-spheres support vector machine with additional information

Maoxiang Chu, Chengdong Wu, Rongfen Gong, 2018 .

Twin Support Vector Machine With Local Structural Information for Pattern Classification

Liming Liu, Rongfen Gong, Maoxiang Chu, 2018, IEEE Access.

Stochastic gradient support vector machine with local structural information for pattern recognition

Ping Li, Maoxiang Chu, Liming Liu, 2021, International Journal of Machine Learning and Cybernetics.

End-point prediction of 260 tons basic oxygen furnace (BOF) steelmaking based on WNPSVR and WOA

Maoxiang Chu, Ping Li, Liming Liu, 2021, J. Intell. Fuzzy Syst..

The Strip Steel Surface Defect Recognition Based on Multiple Support Vector Hyper‐Sphere with Feature and Sample Weights

Xiaoping Liu, Chengdong Wu, Maoxiang Chu, 2016 .

Multi-class Classification Methods of Enhanced LS-TWSVM for Strip Steel Surface Defects

Maoxiang Chu, Mo Sha, Anna Wang, 2014 .

Multi-class classification method for strip steel surface defects based on support vector machine with adjustable hyper-sphere

Xiaoping Liu, Maoxiang Chu, Rongfen Gong, 2018, Journal of Iron and Steel Research International.