DocumentCode
451485
Title
Study of artificial neural network on explosive detection with PFTNA method
Author
Wang, Haidong ; Li, Yuanjing ; Yang, Yigang ; Hu, Shuzhi ; Chen, Boxian ; Gao, Wenhuan
Author_Institution
Dept. of Eng. Phys., Tsinghua Univ., Beijing, China
Volume
1
fYear
2005
fDate
23-29 Oct. 2005
Firstpage
471
Lastpage
473
Abstract
This work describes a study of artificial neural network on explosive detection. With PFTNA method, gamma-ray spectra of some explosives and common materials were acquired. A multilayer perception neural network was designed and trained with these spectra. Back-propagation algorithm was used as the training method. For faster training, different improved algorithms were tested. Good results have been obtained with some algorithms.
Keywords
backpropagation; gamma-ray detection; multilayer perceptrons; PFTNA method; artificial neural network; back-propagation algorithm; explosives detection; gamma-ray spectra; multilayer perception neural network; Artificial neural networks; Composite materials; Explosives; Gamma ray detection; Gamma ray detectors; Multi-layer neural network; Neural networks; Neutrons; Pulse generation; Scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2005 IEEE
ISSN
1095-7863
Print_ISBN
0-7803-9221-3
Type
conf
DOI
10.1109/NSSMIC.2005.1596295
Filename
1596295
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