Abstract: The neural network(NN) ensemble was adopted into the field of the structual damage detection and the grey clustering(GC) technique was employed to cluster all individual NN models and integrate the part of the NNs obtained with bigger differences to enhance the differences and the generalization ability of the NN. The experiment results show that the GC based NN ensemble method is feasible and superior to the traditional NN models.

Key words: computer application, neural network ensemble, structural damage detection, grey clustering, generalization ability