DocumentCode
2133709
Title
Fuzzy and Neural Network Method in Quality Identification of Building Structures
Author
Zhong, Wei-Qiu ; Ren, Hui-Tao ; Dong, Ai-Ping ; Gang, Ming-Shu
Author_Institution
Sch. of Civil Eng., Dalian Univ. of Technol., Dalian, China
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
Based on fuzzy mathematics theory, an estimation model for single and multi layer structure is presented to evaluate comprehensively the reliability of building structures. Meanwhile, the neural network technology is introduced to quality identification of concrete structural members in the present paper, which not only reduces the influence caused by human factors but also unites the standard of the examination criteria. The application of fuzzy mathematics and neural network realizes the attempt to introduce the artificial intelligence technology into the quality identification of civil engineering.
Keywords
artificial intelligence; concrete; fuzzy set theory; neural nets; quality management; structural engineering computing; artificial intelligence technology; building structure; civil engineering; concrete structure; estimation model; fuzzy mathematic theory; human factor; neural network; quality identification; Artificial neural networks; Concrete; Mathematics; Neurons; Periodic structures; Reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science (MASS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5325-2
Electronic_ISBN
978-1-4244-5326-9
Type
conf
DOI
10.1109/ICMSS.2010.5575559
Filename
5575559
Link To Document