现代电子技术Issue(9)：38-42,46,6.
基于支持向量回归机的复杂产品费用估算研究
Research of complex product cost estimation based on support vector regression
杨鹏飞 1朱耀琴1
作者信息
- 1. 南京理工大学 计算机科学与工程学院，江苏 南京 210094
- 折叠
摘要
Abstract
Since plenty of sample data is required to ensure the accuracy of traditional cost estimation algorithm,and it is hard to ensure the accuracy of estimation due to the limitation of sample data in practical application,the support vector regres⁃sion(SVR)based on statistical learning theory is proposed to make cost estimation. The specific steps of cost estimation is de⁃scribed in detail based on SVR,including data preprocessing,training based on SVR,estimation and post⁃processing. The ex⁃periment result verifies that the estimation accuracy based on SVR in small sample data is better than the method of neural net⁃work. Finally,the method of complex product cost estimation based on SVR is implemented,and is integrated in the system of complex product cost estimation.关键词
复杂产品/支持向量回归机/小样本/费用估算Key words
complex product/support vector regression/small sample/cost estimation分类
信息技术与安全科学引用本文复制引用
杨鹏飞,朱耀琴..基于支持向量回归机的复杂产品费用估算研究[J].现代电子技术,2015,(9):38-42,46,6.
