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...
| Main Author: | |
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| Format: | Article |
| Language: | English |
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Belarusian National Technical University
2016-01-01
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| Series: | Sistemnyj Analiz i Prikladnaâ Informatika |
| Online Access: | https://sapi.bntu.by/jour/article/view/72 |
| _version_ | 1797873783727456256 |
|---|---|
| author | A. A. Doudkin |
| author_facet | A. A. Doudkin |
| author_sort | A. A. Doudkin |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-10T01:20:30Z |
| format | Article |
| id | doaj.art-50fd00f48fac4131b1bba6f125bef424 |
| institution | Directory Open Access Journal |
| issn | 2309-4923 2414-0481 |
| language | English |
| last_indexed | 2024-04-10T01:20:30Z |
| publishDate | 2016-01-01 |
| publisher | Belarusian National Technical University |
| record_format | Article |
| series | Sistemnyj Analiz i Prikladnaâ Informatika |
| spelling | doaj.art-50fd00f48fac4131b1bba6f125bef4242023-03-13T09:47:40ZengBelarusian National Technical UniversitySistemnyj Analiz i Prikladnaâ Informatika2309-49232414-04812016-01-0104111565FUZZY NEURAL NETWORK FOR OBJECT IDENTIFICATION ON INTEGRATED CIRCUIT LAYOUTSA. A. Doudkin0Объединенный институт проблем информатики НАН БеларусиFuzzy 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 |
| spellingShingle | A. A. Doudkin FUZZY NEURAL NETWORK FOR OBJECT IDENTIFICATION ON INTEGRATED CIRCUIT LAYOUTS Sistemnyj Analiz i Prikladnaâ Informatika |
| title | 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_short | FUZZY NEURAL NETWORK FOR OBJECT IDENTIFICATION ON INTEGRATED CIRCUIT LAYOUTS |
| title_sort | fuzzy neural network for object identification on integrated circuit layouts |
| url | https://sapi.bntu.by/jour/article/view/72 |
| work_keys_str_mv | AT aadoudkin fuzzyneuralnetworkforobjectidentificationonintegratedcircuitlayouts |