Quality Cost Forecast of the Construction Enterprise Based on SVR Model

Jian Guang Niu; Chun Yan Gao; Xiu Qing Xing

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

Paper Titles

Energy Efficient Building Cost Control Research Based on Whole Life Cycle
p.2994

Management Mode of Super Large Scale Project - Case as Chongqing Public Rental Housing
p.2998

A Quality Cost Evaluation Model of Construction Enterprises Based on Unascertained Method
p.3002

Study on the Selection of Subcontractors Based on Fuzzy Comprehensive Evaluation
p.3006

Quality Cost Forecast of the Construction Enterprise Based on SVR Model
p.3011

Cross-Sea Bridge Construction Contract Management Research
p.3015

Application of Oppression Construction Method in Soft Soil of Deep Foundation Pit Engineering Management
p.3019

Research on the Construction Mechanisms for Intelligent Transportation Systems in Foreign Countries
p.3024

Construction of the Influence Relationship Model between the Construction Project Safety System and the City Public Safety System and Analysis of the Influence Types
p.3029

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 594-597Quality Cost Forecast of the Construction...

Quality Cost Forecast of the Construction Enterprise Based on SVR Model

Abstract:

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.

You might also be interested in these eBooks

Advances in Industrial and Civil Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 594-597)

Pages:

3011-3014

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.594-597.3011

Citation:

Cite this paper

Online since:

November 2012

Authors:

Jian Guang Niu, Chun Yan Gao, Xiu Qing Xing

Keywords:

Construction Enterprise, Prediction, Quality Cost, SVR

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Zhu Changqing. Application of Quality Cost Management in Construction. Journal of railway Engineering society, 2005,4:91-95）

Google Scholar

[2] Cao Zhiping, Dong Peihua. Study of Quality Cost Control of Construction Enterprises. Construction Technology, 2004,33(12):9-11）

Google Scholar

[3] Wang Qiang, Shen Yongping, Chen Yingwu. A Method for Intelligent Decision Making Based on Support Vector Machines. Systems Engineering, 2005, 23(10):111-116）

Google Scholar

[4] Yang Yiwen, Yang Chaojun. Financial Time Series Forecasting Based on Support Vector Machine. Systems Engineering-Theory Methodology Applications, 2005, 14(2):176-181）

Google Scholar

[5] Zhou Huiren, Zheng pi'e, Ren Xianling. Methods for selecting parameters of least squares support vector machines and application. Journal of Systems Engineering.

Google Scholar