FUZZY NEURAL NETWORK FOR OBJECT IDENTIFICATION ON INTEGRATED CIRCUIT LAYOUTS

Fuzzy neural network model based on neocognitron is proposed to identify layout objects on images of topological layers of integrated circuits. Testing of the model on images of real chip layouts was showed a highеr degree of identification of the proposed neural network in comparison to base neocog...

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Main Author: A. A. Doudkin
Format: Article
Language:English
Published: Belarusian National Technical University 2016-01-01
Series:Sistemnyj Analiz i Prikladnaâ Informatika
Online Access:https://sapi.bntu.by/jour/article/view/72
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spelling doaj-50fd00f48fac4131b1bba6f125bef4242021-07-29T08:38:32ZengBelarusian National Technical UniversitySistemnyj Analiz i Prikladnaâ Informatika2309-49232414-04812016-01-0104111565FUZZY NEURAL NETWORK FOR OBJECT IDENTIFICATION ON INTEGRATED CIRCUIT LAYOUTSA. A. Doudkin0United Institute of Informatics Problems of the NAS of BelarusFuzzy neural network model based on neocognitron is proposed to identify layout objects on images of topological layers of integrated circuits. Testing of the model on images of real chip layouts was showed a highеr degree of identification of the proposed neural network in comparison to base neocognitron.https://sapi.bntu.by/jour/article/view/72
collection DOAJ
language English
format Article
sources DOAJ
author A. A. Doudkin
spellingShingle A. A. Doudkin
FUZZY NEURAL NETWORK FOR OBJECT IDENTIFICATION ON INTEGRATED CIRCUIT LAYOUTS
Sistemnyj Analiz i Prikladnaâ Informatika
author_facet A. A. Doudkin
author_sort A. A. Doudkin
title FUZZY NEURAL NETWORK FOR OBJECT IDENTIFICATION ON INTEGRATED CIRCUIT LAYOUTS
title_short FUZZY NEURAL NETWORK FOR OBJECT IDENTIFICATION ON INTEGRATED CIRCUIT LAYOUTS
title_full FUZZY NEURAL NETWORK FOR OBJECT IDENTIFICATION ON INTEGRATED CIRCUIT LAYOUTS
title_fullStr FUZZY NEURAL NETWORK FOR OBJECT IDENTIFICATION ON INTEGRATED CIRCUIT LAYOUTS
title_full_unstemmed FUZZY NEURAL NETWORK FOR OBJECT IDENTIFICATION ON INTEGRATED CIRCUIT LAYOUTS
title_sort fuzzy neural network for object identification on integrated circuit layouts
publisher Belarusian National Technical University
series Sistemnyj Analiz i Prikladnaâ Informatika
issn 2309-4923
2414-0481
publishDate 2016-01-01
description Fuzzy neural network model based on neocognitron is proposed to identify layout objects on images of topological layers of integrated circuits. Testing of the model on images of real chip layouts was showed a highеr degree of identification of the proposed neural network in comparison to base neocognitron.
url https://sapi.bntu.by/jour/article/view/72
work_keys_str_mv AT aadoudkin fuzzyneuralnetworkforobjectidentificationonintegratedcircuitlayouts
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