摘要
提出了多元支持向量机思想及其实现过程,并将其与粗糙集与神经网络相结合,提出一种复合型智能预测分析系统框架。首先利用粗糙集对预测的原始数据进行处理,并从中发现隐含知识,然后提出了多元支持向量机,能够有效地对两种以上类型的数据进行精确分类。将两者与神经网络有机地结合起来,构成一种复合型预测分析系统,从而为决策分析提供一种新的方法。
Multi-SVM is offered in this paper.A integrate intelligent forecast system framework is given Combining the Rough Sets and multi-SVM with ANN.First,the paper makes good use of the advantage of analyzing,dealing with inad-equacy data and discovering the hidden knowledge.At the same time ,it sets up multi-SVM to classify effectively more than two kinds of data.Combining the Rough Sets and multi-SVM with ANN builds a new integrate intelligent forecast analysis system.Therefore,a new method for decision analysis is offered.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第10期57-59,共3页
Computer Engineering and Applications
基金
国家自然科学基金(编号:10071010)
