DocumentCode :
2047024
Title :
Improving the Performance of the PI Systems through the Use of Neural Network
Author :
Jameii, M. Khak ; Nekoui, M.A.
Author_Institution :
Comput. Eng. Dept., Azad Islamic Univ. of Sari, Mazandaran, Iran
Volume :
1
fYear :
2010
fDate :
19-21 March 2010
Firstpage :
561
Lastpage :
566
Abstract :
Pulse induction systems include the very cheep and often-used metal detectors employed, besides other applications, in geology and mine-detecting robots. these systems only detect the presence of metals but are not capable of distinguishing them from each other in this article a method is introduced in which multiple layer perception networks are used to distinguish metals from each other on the basis of their electromagnetic characteristics . This method has been tested on 200 different samples containing the three metals iron, copper and aluminum. The results obtained show the degree of accuracy of the proposed method is over 95 percent.
Keywords :
electromagnetic induction; metal detectors; multilayer perceptrons; robots; PI system; electromagnetic characteristics; metal detector; mine detecting robots; multiple layer perception networks; neural network; pulse induction system; Aluminum; Copper; Detectors; EMP radiation effects; Electromagnetic induction; Geology; Iron; Neural networks; Robots; Testing; inductance; metal detector; neural network; pulse induction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
Conference_Location :
Bali Island
Print_ISBN :
978-1-4244-6079-3
Electronic_ISBN :
978-1-4244-6080-9
Type :
conf
DOI :
10.1109/ICCEA.2010.114
Filename :
5445767
Link To Document :
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