A neural network assembly memory model based on an optimal binary signal detection theory
A ternary/binary data coding algorithm and conditions under which Hopfield networks implement optimal convolutional and Hamming decoding algorithms has been described. Using the coding/decoding approach (an optimal Binary Signal Detection Theory, BSDT) introduced a Neural Network Assembly Memory M...
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| Date: | 2004 |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Інститут програмних систем НАН України
2004
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| Subjects: | |
| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/2306 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | A neural network assembly memory model based on an optimal binary signal detection theory / P.M. Gopych // Проблеми програмування. — 2004. — N 2,3. — С. 473-479. — Бібліогр.: 24 назв. — англ. |