Quality Cost Forecast of the Construction Enterprise Based on SVR Model

被引：1

作者：

Niu, Jianguang ^{[1
]}

Gao, Chunyan ^{[1
]}

Xing, Xiuqing ^{[1
]}

机构：

[1] Shi Jiazhuang Univ Econ, Sch Management Sci & Engn, Shijiazhuang 050031, Hebei, Peoples R China

来源：

ADVANCES IN INDUSTRIAL AND CIVIL ENGINEERING, PTS 1-4 | 2012年 / 594-597卷

关键词：

Construction Enterprises; SVR; Quality Cost; Prediction;

D O I：

10.4028/www.scientific.net/AMR.594-597.3011

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper established a relatively good index system of quality cost projections. The quality cost of construction enterprise is predicted by introducing a new mathematical model - Support Vector Regression Model (SVR). SVR is one of the best methods on dealing with small samples, avoiding the defects of neural network that is easy to fall into local minimum, lower accuracy rate, and it verified Unascertained-SVR model is feasible and good accuracy by example.

引用

页码：3011 / 3014

页数：4