Synthesis of neural-like networks on the basis of conversion of cyclic Hamming codes

DOI10.1007/s10559-017-9965-zzbMath1391.94855OpenAlexW2740543340MaRDI QIDQ1709471

V. N. Opanasenko, S. L. Kryvyi

Publication date: 5 April 2018

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-017-9965-z

zbMATH Keywords

cyclic codeHamming distanceBoolean functionneural-like network

Mathematics Subject Classification ID

Cyclic codes (94B15)

Related Items (9)

Decomposition method for calculating the weights of a binary neural network ⋮ Twofold state assignment for the Moore finite state machines ⋮ Optimizing the combined automation scheme in the ASIS basis ⋮ Logical operations over fuzzy sets and relations in automaton interpretation ⋮ Joint use of methods of structural decomposition for optimizing the circuit of Moore FSM ⋮ Optimization of CMCU with code sharing ⋮ Partitioning a set of vectors with integer coordinates by means of logical hardware ⋮ Algebraic operations on fuzzy sets and relations in automata interpretation implemented by logical hardware ⋮ Symmetric information exchange system based on ring isomorphism

Cites Work

• Synthesis of adaptive logical networks on the basis of Zhegalkin polynomials
• Partitioning the full range of Boolean functions based on the threshold and threshold relation
• Reconfigurable-computing technology
• 3 Design and Application of the PLD-Based Reconfigurable Devices
• Neural networks, error-correcting codes, and polynomials over the binary n-cube

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