Research on Construction Engineering Quality Supervision Based on Artificial Neural Network

Guo Bo Han; Li Ning Zhang

doi:10.4028/www.scientific.net/AMR.919-921.1471

Paper Titles

Evaluation on the Development of Shanghai Suburban Infrastructure Based on AHP-Entropy Method
p.1451

Highway Project Investment Risk Factors and its Mechanism: Empirical Studies Based on Structural Equation Model
p.1457

Matrix Method Application on the Civil Engineering Project Management
p.1462

New Ideas to Resolve Construction GFA Specification
p.1466

Research on Construction Engineering Quality Supervision Based on Artificial Neural Network
p.1471

Research on Construction Safety Management of High-Rise Buildings Based on the Grey Hierarchy Evaluation Model
p.1477

Research on Cost Control of Infrastructure Project with Prior Operation Function in Design Phase
p.1482

Research on Important Process of Project Monitoring and Control
p.1489

The Evaluation Model of Bridge Construction Safety Management Variable Fuzzy Sets
p.1494

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 919-921Research on Construction Engineering Quality...

Research on Construction Engineering Quality Supervision Based on Artificial Neural Network

Abstract:

There is a nonlinear relationship between the size and quality of objective risk factors in the construction process, this relationship is quite complex to describe specific model. According to the characteristics, introduces artificial neural network control system that is a quality supervision method for quantitative. The effective supervision on construction quality is realized in the case of the full approximation nonlinear complex system by establishing the index system of construction engineering quality supervision, and it is verified by engineering examples. The research has practical operation and guiding significance to enrich methods of quality supervision in the process of construction work and to improve the quality of building engineering.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 919-921)

Pages:

1471-1476

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.919-921.1471

Citation:

Cite this paper

Online since:

April 2014

Authors:

Guo Bo Han*, Li Ning Zhang

Keywords:

Artificial Neural Network (ANN), Construction Engineering Quality, Quality Supervision Method, Supervision Index

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] He Ying. Nanjing University of Science & Technology（2009）.

Google Scholar

[2] Lu M, AbouRizk S M. Jouanal of Computing in Civil Engineering, 4(2001), pp.299-308.

Google Scholar

[3] Zhao Ping, Sun Shu-dong. Journal of Xi'An University of Architecture & Technology, 4(2003), pp.339-342.

Google Scholar

[4] Zhu Da-qi. TJournal of Southern Yangtze University(Natural Science Edition), 2 (2004), pp.103-109.

Google Scholar

[5] Zhu Hong-liang, Zhang Wei. Journal of Chongqing Jianzhu University, 4(2007), pp.128-131.

Google Scholar

[6] Shi Hua-wang. Research on Comprehensive Evaluation of Fuzzy Genetic Neural Network Based on the Quality of Construction Engineering. Hebei University of Engineering, 3(2005).

Google Scholar

[7] Wu Huai-jun. China Safety Science Journal, 8(2009), pp.128-131.

Google Scholar