DocumentCode
2452014
Title
Application of Genetic Neural Network for Predicting Bearing Capacity of RC Beams Strengthened by Carbon Fiber Sheets
Author
Li, Zhe ; Wang, Jia
Author_Institution
Dept. of Civil & Struct. Eng., Xi´´an Univ. of Technol., Xi´´an, China
Volume
1
fYear
2010
fDate
16-17 Dec. 2010
Firstpage
267
Lastpage
271
Abstract
This paper establishes genetic neural network model by combing BP neural network with genetic algorithm and applies the model to predicting bearing capacity of reinforced concrete beams strengthened by carbon fiber sheets, by comparing the predicted values and experimental values, it proves that the model has good ability of forecasting.
Keywords
beams (structures); carbon fibres; genetic algorithms; neural nets; structural engineering computing; BP neural network; RC beams; bearing capacity; carbon fiber sheets; genetic algorithm; genetic neural network; structural engineering; Artificial neural networks; Carbon; Concrete; Genetics; Optical fiber networks; Structural beams; Training; RC beams; bearing capacity predicting; carbon fiber sheets; genetic neural network; strengthen;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9247-3
Type
conf
DOI
10.1109/GCIS.2010.149
Filename
5708758
Link To Document