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