电焊机2011，Vol.41Issue(10)：42-45,4.
支持向量机在焊接过程中的应用
Review of support vector machine and its applications in welding process
李驰1
作者信息
- 1. 四川大学锦城学院计算机科学与软件工程系,四川成都611731
- 折叠
摘要
Abstract
Welding process is a typical nonlinear system,involving complex physical and chemical processes,but modeling methods often can not effectively access the system model based on neural networks.Support vector machine(SVM)manifests unique advantages in solving machine learning problem that is characterized by small quantity of samples,nonlinear and high dimension space,and SVM manifests unique advantages in modeling of nonlinear system,so it has broad application prospect in welding.First of all,the basic theory of SVM is introduced and modeling mothed is given in welding process.An overview of SVM is given in welding applications, involving welding process modeling and control,welding state pattern recognition,welding quality control and parameter identification and optimization of the welding industry at the same time.The problems faced in the process of welding is analyzed at last.关键词
支持向量机/机器学习/焊接Key words
support vector machines/machine learning/welding分类
矿业与冶金引用本文复制引用
李驰..支持向量机在焊接过程中的应用[J].电焊机,2011,41(10):42-45,4.
