Paper Title:
Application of Improved BPNN to Damage Detection of Composite Materials
  Abstract

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.

  Info
Periodical
Key Engineering Materials (Volumes 467-469)
Edited by
Dehuai Zeng
Pages
1097-1101
DOI
10.4028/www.scientific.net/KEM.467-469.1097
Citation
X. M. Dong, "Application of Improved BPNN to Damage Detection of Composite Materials", Key Engineering Materials, Vols. 467-469, pp. 1097-1101, 2011
Online since
February 2011
Authors
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Price
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