Application of Neural Network Ensemble on the Non-Destructive Testing of Pod
Wu Hui · Advanced materials research · 2008
Data processing of non-destructive testing for the pod is a very complex problem. In this paper neural network ensemble is applied to the non-destructive testing of pod,which can improve the precision and generalization ability of system through training different kinds of neural networks and then combining those results.It compared each the resu1ts of BP model, RBF model, GRNN model and neural network ensemble methods which are employed to test the quality of pod. The results show that neural network ensemble method is better than simplex neural network, and the non-destructive testing of the pod based on neural network ensemble is valid and feasible.