Application of Improved BPNN to Damage Detection of Composite Materials
A dynamic method based on improved algorithm BP neural network for damage identification of composite materials was proposed. By using wavelet series, the features of signals were extracted and input to improved algorithm BP neural network for training the network and identifying the damages. Finally, the experiment results show that this proposed method can exactly identify the faults of composite materials.
X. M. Dong "Application of Improved BPNN to Damage Detection of Composite Materials", Key Engineering Materials, Vols. 467-469, pp. 1097-1101, 2011