DocumentCode
3357111
Title
An application of “neocognitron” neural network for integral chip image processing
Author
Sadykhov, R. Kh ; Vatkin, M.E.
Author_Institution
Byelorussian State Univ., Minsk, Byelorussia
fYear
2001
fDate
2001
Firstpage
207
Lastpage
210
Abstract
The architecture of the “neocognitron” neural network in the task of searching for structural units in a gray scale image of an integrated circuit is considered. The updated rule for activation of the network neurons invariant to distortions of brightness is represented. The comparative outcomes of recognition have shown the advantages of a neural network approach
Keywords
circuit analysis computing; feature extraction; feedforward neural nets; image recognition; integrated circuits; multilayer perceptrons; neural net architecture; brightness; gray scale image; integral chip image processing; integrated circuit; neocognitron neural network architecture; network neurons; recognition; structural unit searching; updated activation rule; Brightness; Computer vision; Cybernetics; Image analysis; Image processing; Image recognition; Informatics; Multi-layer neural network; Neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, International Workshop on, 2001.
Conference_Location
Crimea
Print_ISBN
0-7803-7164-X
Type
conf
DOI
10.1109/IDAACS.2001.942014
Filename
942014
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