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 :
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