Analysis of the main provisions of the theory of parallel-hierarchical transformations

Authors

  • L. Tymchenko State University of Infrastructure and Technology
  • O. Stetsenko State University of Infrastructure and Technology
  • N. Kokryatskay State University of Infrastructure and Technology
  • V. Kaplun Vinnytsia National Technical University
  • N. Dubova Vinnytsia National Technical University

DOI:

https://doi.org/10.31649/1681-7893-2023-45-1-43-54

Keywords:

pattern recognition task, parallel-hierarchical network, parallel-hierarchical transformation

Abstract

The article presents an analysis of the main principles of parallel-hierarchical transformations theory. The continuous movement of society towards the automation of everyday life requires the creation of fundamentally new software and hardware solutions. Considering the current physical limitations of integrated circuits, it is evident that improving software processing is the way to go. The main problem lies in the increasing complexity of architecture and supporting such code. The ideas of parallel-hierarchical networks allow for a significant increase in processing speed through process parallelization while maintaining the relative simplicity of the software solution's architecture. The proposed structure of the parallel-hierarchical network allows for modelling the operation principle of a distributed neural network and forms a deterministic network using spatial-temporal division. The general rules of direct and inverse parallel-hierarchical transformation and their application to image recognition tasks are discussed. A block diagram of the algorithm for the basic model of nonlinear direct network transformation is shown. A mathematical model of direct parallel-hierarchical transformation is presented using an example. Compared to known numerical transformation methods involving simple operations like addition, the model enables complex functional signal processing in real-time scale, as well as unambiguity and reversibility with good convergence of the computational process.

Author Biographies

L. Tymchenko, State University of Infrastructure and Technology

D.Sc., professor head of Artificial intelligence systems and telecommunication technologies department

O. Stetsenko, State University of Infrastructure and Technology

postgraduate student  of Artificial intelligence systems and telecommunication technologies

N. Kokryatskay, State University of Infrastructure and Technology

Ph.D., Docent head of Artificial intelligence systems and telecommunication technologies department

N. Dubova, Vinnytsia National Technical University

senior lector of Higher Mathematics Department

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Published

2023-09-28

How to Cite

[1]
L. Tymchenko, O. Stetsenko, N. Kokryatskay, V. Kaplun, and N. Dubova, “Analysis of the main provisions of the theory of parallel-hierarchical transformations”, Опт-ел. інф-енерг. техн., vol. 45, no. 1, pp. 43–54, Sep. 2023.

Issue

Vol. 45 No. 1 (2023)

Section

OptoElectronic/Digital Methods and Systems for Image/Signal Processing

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