Feature extraction and classification of metal detector signals using the wavelet transform and the fuzzy ARTMAP neural network

Tran, M. D. J., Lim, C. P., Abeynayake, C. and Jain, L. C. 2010, Feature extraction and classification of metal detector signals using the wavelet transform and the fuzzy ARTMAP neural network, Journal of intelligent and fuzzy systems, vol. 21, no. 1-2, pp. 89-99.

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Title Feature extraction and classification of metal detector signals using the wavelet transform and the fuzzy ARTMAP neural network
Author(s) Tran, M. D. J.
Lim, C. P.
Abeynayake, C.
Jain, L. C.
Journal name Journal of intelligent and fuzzy systems
Volume number 21
Issue number 1-2
Start page 89
End page 99
Total pages 11
Publisher IOS Press
Place of publication Amsterdam, The Netherlands
Publication date 2010
ISSN 1064-1246
1875-8967
Keyword(s) automated target discrimination
fuzzy ARTMAP neural network
majority voting
metal detector
wavelet transform
Summary In this paper, the Fuzzy ARTMAP (FAM) neural network is used to classify metal detector signals into different categories for automated target discrimination. Feature extraction of the metal detector signals is conducted using a wavelet transform technique. The FAM neural network is then employed to classify the extracted features into different target groups. A series of experiments using individual FAM networks and a voting FAM network is conducted. Promising classification accuracy rates are obtained from using individual and voting FAM networks, respectively. The experimental outcomes positively demonstrate the effectiveness of the generated features, and of the FAM network in classifying metal detector signals for automated target discrimination tasks.
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2010, IOS Press and the authors. All rights reserved
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048751

Document type: Journal Article
Collection: Institute for Frontier Materials
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