计算机应用与软件Issue(9)：57-60,4.DOI:10.3969/j.issn.1000-386x.2013.09.017
球形支持向量机在煤自燃预测中的应用
APPLICATION OF SPHERICAL-SVM IN FORECASTING SPONTANEOUS COMBUSTION OF COAL
摘要
Abstract
In this paper we introduce fuzzy membership and least squares method , adopt neighbourhood rough set method to reduce the dimensions of input vectors of the coal spontaneous combustion , and use particle swarm optimisation ( PSO ) algorithm to optimise the parameters of support vector machine (SVM) model.Then we present a fuzzy least square spherical support vector machine (FLHSSVM), use sequential minimise optimisation ( SMO ) method to solve the quadratic programming problem in FLHSSVM , and establish a coal spontaneous combustion forecast model .Experimental results show that this method effectively simplifies the training sample , enhances the training speed of FLHSSVM , and has refined classification accuracy , it well proves the generalisation capability .关键词
煤自燃/邻域粗糙集/最小二乘法/球形支持向量机Key words
Coal spontaneous combustion/Neighbourhood rough set/Least square method/Spherical support vector machine分类
信息技术与安全科学引用本文复制引用
靳玉萍,张兵,高凯..球形支持向量机在煤自燃预测中的应用[J].计算机应用与软件,2013,(9):57-60,4.基金项目
国家自然科学基金重点项目（51134019）。 （）
