DocumentCode
3414267
Title
Evaluation of impacting signals and neural networks for objects detection
Author
Molino-Minero-Re, Erik ; López-García, Mariano ; Mánuel-Lázaro, Antoni
Author_Institution
SARTI, Polytech. Univ. of Catalonia, Barcelona
fYear
2008
fDate
June 30 2008-July 2 2008
Firstpage
925
Lastpage
928
Abstract
This paper presents a study that evaluates different neural networks configurations and different impact sources, for detecting materials using impacts as the source of information. This work deals as well with objects that have similar responses when impacted, as is the case of pieces made from steel and aluminum.
Keywords
neural nets; object detection; material detection; neural networks; objects detection; Acceleration; Accelerometers; Acoustic testing; Frequency domain analysis; Information resources; Materials testing; Neural networks; Object detection; Signal analysis; Steel;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on
Conference_Location
Cambridge
Print_ISBN
978-1-4244-1665-3
Electronic_ISBN
978-1-4244-1666-0
Type
conf
DOI
10.1109/ISIE.2008.4677257
Filename
4677257
Link To Document