Automatic Ultrasonic Testing of Materials with Neural Network

LUNAR-PEČEK, Bojana ;GRABEC, Igor .
Automatic Ultrasonic Testing of Materials with Neural Network. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 42, n.1-2, p. 17-26, july 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/automatic-ultrasonic-testing-of-materials-with-neural-network/>. Date accessed: 20 dec. 2024. 
doi:http://dx.doi.org/.

Lunar-Peček, B., & Grabec, I.
(1996).
Automatic Ultrasonic Testing of Materials with Neural Network.
Strojniški vestnik - Journal of Mechanical Engineering, 42(1-2), 17-26.
doi:http://dx.doi.org/

@article{.,
	author = {Bojana  Lunar-Peček and Igor  Grabec},
	title = {Automatic Ultrasonic Testing of Materials with Neural Network},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {42},
	number = {1-2},
	year = {1996},
	keywords = {Neural Network; Testing of Materials; },
	abstract = {The applicability of the neural network model to ultrasonic testing of materials is investigated. An experimental measuring system consisting of ultrasonic defectoscope, digital oscilloscope and a computer is described. The structure and the operation of the back-propagation neural network is represented. The system with a single ultrasonic normal probe was tested on several artificial, and real defects occurring in industrial products.},
	issn = {0039-2480},	pages = {17-26},	doi = {},
	url = {https://www.sv-jme.eu/article/automatic-ultrasonic-testing-of-materials-with-neural-network/}
}

Lunar-Peček, B.,Grabec, I.
1996 July 42. Automatic Ultrasonic Testing of Materials with Neural Network. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 42:1-2

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%A Grabec, Igor 
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%! Automatic Ultrasonic Testing of Materials with Neural Network
%K Neural Network; Testing of Materials; 
%X The applicability of the neural network model to ultrasonic testing of materials is investigated. An experimental measuring system consisting of ultrasonic defectoscope, digital oscilloscope and a computer is described. The structure and the operation of the back-propagation neural network is represented. The system with a single ultrasonic normal probe was tested on several artificial, and real defects occurring in industrial products.
%U https://www.sv-jme.eu/article/automatic-ultrasonic-testing-of-materials-with-neural-network/
%0 Journal Article
%R 
%& 17
%P 10
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 42
%N 1-2
%@ 0039-2480
%8 2017-07-06
%7 2017-07-06

Lunar-Peček, Bojana, & Igor  Grabec.
"Automatic Ultrasonic Testing of Materials with Neural Network." Strojniški vestnik - Journal of Mechanical Engineering [Online], 42.1-2 (1996): 17-26. Web.  20 Dec. 2024

TY  - JOUR
AU  - Lunar-Peček, Bojana 
AU  - Grabec, Igor 
PY  - 1996
TI  - Automatic Ultrasonic Testing of Materials with Neural Network
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - Neural Network; Testing of Materials; 
N2  - The applicability of the neural network model to ultrasonic testing of materials is investigated. An experimental measuring system consisting of ultrasonic defectoscope, digital oscilloscope and a computer is described. The structure and the operation of the back-propagation neural network is represented. The system with a single ultrasonic normal probe was tested on several artificial, and real defects occurring in industrial products.
UR  - https://www.sv-jme.eu/article/automatic-ultrasonic-testing-of-materials-with-neural-network/

@article{{}{.},
	author = {Lunar-Peček, B., Grabec, I.},
	title = {Automatic Ultrasonic Testing of Materials with Neural Network},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {42},
	number = {1-2},
	year = {1996},
	doi = {},
	url = {https://www.sv-jme.eu/article/automatic-ultrasonic-testing-of-materials-with-neural-network/}
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TY  - JOUR
AU  - Lunar-Peček, Bojana 
AU  - Grabec, Igor 
PY  - 2017/07/06
TI  - Automatic Ultrasonic Testing of Materials with Neural Network
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 42, No 1-2 (1996): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - Neural Network, Testing of Materials, 
N2  - The applicability of the neural network model to ultrasonic testing of materials is investigated. An experimental measuring system consisting of ultrasonic defectoscope, digital oscilloscope and a computer is described. The structure and the operation of the back-propagation neural network is represented. The system with a single ultrasonic normal probe was tested on several artificial, and real defects occurring in industrial products.
UR  - https://www.sv-jme.eu/article/automatic-ultrasonic-testing-of-materials-with-neural-network/

Lunar-Peček, Bojana, AND Grabec, Igor.
"Automatic Ultrasonic Testing of Materials with Neural Network" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 42 Number 1-2 (06 July 2017)