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
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;
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
DOI :
10.1109/GCIS.2010.149
