ADAPTATION OF ARTIFICIAL NEURAL NETWORKS FOR CUDA-TECHNOLOGY APPLICATION
The paper deals with the application of CUDA-technology on software implementation of direct and reverse passes of artificial neural network (ANN) based on back-propagation algorithm. It is shown that introduction of «imaginary» neurons helps to adapt the topology of the neural network to be trained...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
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Educational institution «Belarusian State University of Informatics and Radioelectronics»
2019-06-01
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| Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
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| Online Access: | https://doklady.bsuir.by/jour/article/view/94 |
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| _version_ | 1849772727558209536 |
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| author | O. S. Hilko S. P. Kundas V. I. Kovalenko |
| author_facet | O. S. Hilko S. P. Kundas V. I. Kovalenko |
| author_sort | O. S. Hilko |
| collection | DOAJ |
| description | The paper deals with the application of CUDA-technology on software implementation of direct and reverse passes of artificial neural network (ANN) based on back-propagation algorithm. It is shown that introduction of «imaginary» neurons helps to adapt the topology of the neural network to be trained and calculated with CUDA-technology. It is proved that «imaginary» neurons do not affect on the calculations in the back propagation algorithm. |
| format | Article |
| id | doaj-art-1ff96a2da7d34bdd9045d77754951a49 |
| institution | DOAJ |
| issn | 1729-7648 |
| language | Russian |
| publishDate | 2019-06-01 |
| publisher | Educational institution «Belarusian State University of Informatics and Radioelectronics» |
| record_format | Article |
| series | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
| spelling | doaj-art-1ff96a2da7d34bdd9045d77754951a492025-08-20T03:02:15ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-010610711393ADAPTATION OF ARTIFICIAL NEURAL NETWORKS FOR CUDA-TECHNOLOGY APPLICATIONO. S. Hilko0S. P. Kundas1V. I. Kovalenko2Международный государственный экологический университет им. А.Д. СахароваМеждународный государственный экологический университет им. А.Д. СахароваМеждународный государственный экологический университет им. А.Д. СахароваThe paper deals with the application of CUDA-technology on software implementation of direct and reverse passes of artificial neural network (ANN) based on back-propagation algorithm. It is shown that introduction of «imaginary» neurons helps to adapt the topology of the neural network to be trained and calculated with CUDA-technology. It is proved that «imaginary» neurons do not affect on the calculations in the back propagation algorithm.https://doklady.bsuir.by/jour/article/view/94cuda-технология«мнимый» нейрон |
| spellingShingle | O. S. Hilko S. P. Kundas V. I. Kovalenko ADAPTATION OF ARTIFICIAL NEURAL NETWORKS FOR CUDA-TECHNOLOGY APPLICATION Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki cuda-технология «мнимый» нейрон |
| title | ADAPTATION OF ARTIFICIAL NEURAL NETWORKS FOR CUDA-TECHNOLOGY APPLICATION |
| title_full | ADAPTATION OF ARTIFICIAL NEURAL NETWORKS FOR CUDA-TECHNOLOGY APPLICATION |
| title_fullStr | ADAPTATION OF ARTIFICIAL NEURAL NETWORKS FOR CUDA-TECHNOLOGY APPLICATION |
| title_full_unstemmed | ADAPTATION OF ARTIFICIAL NEURAL NETWORKS FOR CUDA-TECHNOLOGY APPLICATION |
| title_short | ADAPTATION OF ARTIFICIAL NEURAL NETWORKS FOR CUDA-TECHNOLOGY APPLICATION |
| title_sort | adaptation of artificial neural networks for cuda technology application |
| topic | cuda-технология «мнимый» нейрон |
| url | https://doklady.bsuir.by/jour/article/view/94 |
| work_keys_str_mv | AT oshilko adaptationofartificialneuralnetworksforcudatechnologyapplication AT spkundas adaptationofartificialneuralnetworksforcudatechnologyapplication AT vikovalenko adaptationofartificialneuralnetworksforcudatechnologyapplication |