The model of multifunctional neural element of intelligent systems

• Authors: Tetiana MARTYNIUK , Andriy KOZHEMIAKO , Antonina BUDA , Leonid KUPERSHTEIN
• Languages of publication: EN

Abstracts

EN

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.

Keywords

EN

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

• Publisher: Uniwersytet Rzeszowski
• Journal: Edukacja-Technika-Informatyka
• Year: 2013
• Volume: 4
• Issue: 2
• Pages: 366-371

Dates

published

2013

Contributors

author

Tetiana MARTYNIUK

author

Andriy KOZHEMIAKO

author

Antonina BUDA

author

Leonid KUPERSHTEIN

References

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Identifiers

ISSN

2080-9069