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个人信息Personal Information
教授
博士生导师
硕士生导师
性别：男
毕业院校：东北大学
学位：博士
所在单位：控制科学与工程学院
学科：控制理论与控制工程. 运筹学与控制论
办公地点：创新园大厦A座722室
电子邮箱：cshao@dlut.edu.cn
Parameters Selection and Application of LS-SVM Based on Chaotic Ant Swarm Algorithm
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论文类型：会议论文
发表时间：2011-04-16
收录刊物：EI、CPCI-S、Scopus
卷号：204-210
页面范围：423-+
关键字：LS-SVM; Parameters Selection; Chaotic Ant Swarm Algorithm
摘要：Parameters selection plays an important role for the performance of least squares support vector machines (LS-SVM). In this paper, a novel parameters selection method for LS-SVM is presented based on chaotic ant swarm (CAS) algorithm. Using this method, the optimization model is established, within which the fitness function is the mean square error (MSE) index, and the constraints are the ranges of the designing parameters. The proposed method is used in the identification for inverse model of the nonlinear systems, and simulation results are given to show the efficiency.