文献类型：会议论文

英文题名：Fuzzy wavelet support vector machines and its application in modeling jet fuel endpoint of hydrocracking process

作者：Zhao, HP; Yu, JS

机构：[1]E China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R China

会议论文集：4th International Conference on Engineering Applications and Computational Algorithms

会议日期：JUL 27-29, 2005

会议地点：Univ Guelph, Guelph, CANADA

主办单位：Univ Guelph

语种：英文

外文关键词：fuzzy c-means (FCM); support vector machines (SVM); least squares support vector machines (LSSVM); wavelet kernel; particle swarm optimization (PSO); jet fuel endpoint

摘要：For solving the problem that global modeling method is difficult to perfectly describe complex industrial process, the paper propose two methods to construct multi-model, namely fuzzy wavelet support vector machines (FWSVM) and fuzzy least squares wavelet support vector machines (FLSWSVM). For achieving better performance, the PSO algorithm with constriction factor is used to select the parameters. Finally, to illustrate the validity of the proposed methods, they are applied to model jet fuel endpoint of hydrocracking process. The results demonstrate that the proposed methods not only provide satisfactory approximation and generalization properties, but also achieve superior performances to some other models, such as standard SVM.