Comparative Study on BP Neural Network and RBF Neural Network in Performance Evaluation of Seismic Resistance for Pier Columns
Wancheng Yuan · Jiegou Gongchengshi · 2007
The BP Network and RBF Network in the use of performance evaluation of seismic resistance for pier columns were compared,and a simulation example was presented.The results of training and simulating indicate that,Both BP Network and RBF Network can evaluate the performance of seismic resistance for pier columns well,and RBF neural network has several advantages over BP neural network on the side of performance evaluation of seismic resistance for pier columns,especially in accuracy and training efficiency.At the same time,some disadvantages of RBF neural network and BP neural network were presented.In practice,the conclusions will provide theoretical guide for the design of neural network.