Application of Genetic Neural Network for Predicting Bearing Capacity of RC Beams Strengthened by Carbon Fiber Sheets

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.