A neural network assembly memory model based on an optimal binary signal detection theory

• Date: 2004
• Main Author: Gopych, P.M.
• Format: Article
• Language: English
• Published: Інститут програмних систем НАН України 2004
• Subjects: Прикладное программное обеспечение
• Online Access: https://nasplib.isofts.kiev.ua/handle/123456789/2306
• 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.

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...