IMPACT OF DEFECTS ON MULTILAYER ARTIFICIAL FEEDFORWARD NEURAL NETWORK OPERABILITY
Impact of buried layer likely defects on the performance of the multilayer feedforward artificial neural network is investigated. Dimensions of estimation of the correct network operation by pattern recognition are offered.
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| Main Authors: | , |
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| Format: | Article |
| Language: | Russian |
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Don State Technical University
2011-03-01
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| Series: | Advanced Engineering Research |
| Subjects: | |
| Online Access: | https://www.vestnik-donstu.ru/jour/article/view/706 |
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| _version_ | 1849341706514726912 |
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| author | Daniil V. Marshakov Vladimir A. Fatkhi |
| author_facet | Daniil V. Marshakov Vladimir A. Fatkhi |
| author_sort | Daniil V. Marshakov |
| collection | DOAJ |
| description | Impact of buried layer likely defects on the performance of the multilayer feedforward artificial neural network is investigated. Dimensions of estimation of the correct network operation by pattern recognition are offered. |
| format | Article |
| id | doaj-art-e096a3dbf6c34278a95394a2354c700d |
| institution | Kabale University |
| issn | 2687-1653 |
| language | Russian |
| publishDate | 2011-03-01 |
| publisher | Don State Technical University |
| record_format | Article |
| series | Advanced Engineering Research |
| spelling | doaj-art-e096a3dbf6c34278a95394a2354c700d2025-08-20T03:43:34ZrusDon State Technical UniversityAdvanced Engineering Research2687-16532011-03-01112169173698IMPACT OF DEFECTS ON MULTILAYER ARTIFICIAL FEEDFORWARD NEURAL NETWORK OPERABILITYDaniil V. Marshakov0Vladimir A. Fatkhi1Don State Technical UniversityDon State Technical UniversityImpact of buried layer likely defects on the performance of the multilayer feedforward artificial neural network is investigated. Dimensions of estimation of the correct network operation by pattern recognition are offered.https://www.vestnik-donstu.ru/jour/article/view/706fault tolerancefeedforward neural networkartificial recognitionindices of correct recognition. |
| spellingShingle | Daniil V. Marshakov Vladimir A. Fatkhi IMPACT OF DEFECTS ON MULTILAYER ARTIFICIAL FEEDFORWARD NEURAL NETWORK OPERABILITY Advanced Engineering Research fault tolerance feedforward neural network artificial recognition indices of correct recognition. |
| title | IMPACT OF DEFECTS ON MULTILAYER ARTIFICIAL FEEDFORWARD NEURAL NETWORK OPERABILITY |
| title_full | IMPACT OF DEFECTS ON MULTILAYER ARTIFICIAL FEEDFORWARD NEURAL NETWORK OPERABILITY |
| title_fullStr | IMPACT OF DEFECTS ON MULTILAYER ARTIFICIAL FEEDFORWARD NEURAL NETWORK OPERABILITY |
| title_full_unstemmed | IMPACT OF DEFECTS ON MULTILAYER ARTIFICIAL FEEDFORWARD NEURAL NETWORK OPERABILITY |
| title_short | IMPACT OF DEFECTS ON MULTILAYER ARTIFICIAL FEEDFORWARD NEURAL NETWORK OPERABILITY |
| title_sort | impact of defects on multilayer artificial feedforward neural network operability |
| topic | fault tolerance feedforward neural network artificial recognition indices of correct recognition. |
| url | https://www.vestnik-donstu.ru/jour/article/view/706 |
| work_keys_str_mv | AT daniilvmarshakov impactofdefectsonmultilayerartificialfeedforwardneuralnetworkoperability AT vladimirafatkhi impactofdefectsonmultilayerartificialfeedforwardneuralnetworkoperability |