摘要
针对目前投资估算方法研究中面临的指标多、样本少的难题,论文尝试引入因子分析理论,将指标做降维处理,同时结合现代的径向基函数(RBF-Radial Basis Function)理论,建立了一种新的估算模型。结合工程实例论证,结果表明该模型是有效的,并且它的估算精度比一般的RBF神经网络估算模型要好。
Focusing on the problem of multiple index factors while few samples in current investment estimation methods, this paper introduced factor analysis theory to reduce the index dimension. Combining radial basis function theory, a new estimation model was constructed. A case study was used to show that the model is effective and its estimation result is more accuracy than general RBF neural network models.
出处
《工程管理学报》
2010年第1期65-68,共4页
Journal of Engineering Management
关键词
估算模型
因子分析
径向基函数
cost estimation model
factor analysis
radial basis function
