The model of multifunctional neural element of intelligent systems

Authors

  • Tetiana MARTYNIUK
  • Andriy KOZHEMIAKO
  • Antonina BUDA
  • Leonid KUPERSHTEIN

DOI:

https://doi.org/2080-9069

Keywords:

neural element, threshold parallel processing, parallel-pipeline processor, neural network, perсeptron, neural chip, difference cut, programmable logic device

Abstract

The article shows the features of realization of multioperand processing in neural structures on the base of difference cuts, that allow to expand functional capabilities and to reduce time consumptions in neural processing. The structural organization of the parallel-pipeline processor for neural-like vector data processing on the DCs base are proposed. This parallel-pipeline processor on CPLD base are implemented, which allow realize neural chip with a fragment of the neural network layer.

Published

2013-12-15

How to Cite

MARTYNIUK, T., KOZHEMIAKO, A., BUDA, A., & KUPERSHTEIN, L. (2013). The model of multifunctional neural element of intelligent systems. Journal of Education, Technology and Computer Science, (2), 366–371. https://doi.org/2080-9069

Issue

No. 2 (2013)

Section

SELECTED PROBLEMS OF SCHOOL EDUCATION