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Multi-class classification method for strip steel surface defects based on support vector machine wi
[期刊论文] 作者：Mao-xiang Chu,Xiao-ping Liu,Rong-fen Gong,Jie Zhao,
来源：城市道桥与防洪 年份：2018
该文从挂篮荷载计算、施工流程、支座及临时固结施工、挂篮安装及试验、合拢段施工、模板制作安装、钢筋安装、混凝土的浇筑及养生、测量监控等方面人手,介绍了S226海滨大桥...
[期刊论文] 作者：Mao-xiang CHU,An-na WANG,Rong-fen GONG,Mo SHA,,
来源：Journal of Iron and Steel Research(International) 年份：2014
Considering strip steel surface defect samples,a multi-class classification method was proposed based on enhanced least squares twin support vector machines(ELS...
Unbalanced classification method using least squares support vector machine with sparse strategy for
[期刊论文] 作者：Li-ming Liu,Mao-xiang Chu,Rong-fen Gong,Xin-yu Qi,
来源：钢铁研究学报（英文版） 年份：2020
Least squares support vector machine (LS-SVM) plays an important role in steel surface defects classification because of its high speed. However, the defect sam...
[期刊论文] 作者：Mao-xiang Chu,Yao Feng,Yong-hui Yang,Xin Deng,
来源：钢铁研究学报（英文版） 年份：2021
Defect classification is the key task of a steel surface defect detection system.The current defect classification algorithms have not taken the feature noise i...
End-point dynamic control of basic oxygen furnace steelmaking based on improved unconstrained twin s
[期刊论文] 作者：Chuang Gao,Ming-gang Shen,Xiao-ping Liu,Nan-nan Zhao,Mao-xiang Chu,
来源：钢铁研究学报（英文版） 年份：2020
In order to improve the end-point hit rate of basic oxygen face steelmaking,a novel dynamic control model was proposed based on an improved twin support vector...
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