STRUCTURAL SYNTHESIS OF NEURO MODELS ON THE BASIS OF POLYMODAL EVOLUTIONARY SEARCH

Authors

  • S. A. Subbotyn Zaporizhzhya National Technical University, Ukraine
  • A. O. Oliynyk Zaporizhzhya National Technical University, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2008-1-22

Abstract

The problem of structural synthesis of neural network models is considered. The polymodal evolutionary search method with a chromosomes clustering is developed, allowing to develop various structures of neural networks with good computational capabilities. Experiments on model synthesis of health state dependence from the environmental population are lead.

Author Biographies

S. A. Subbotyn, Zaporizhzhya National Technical University

Ph.D., associate professor

A. O. Oliynyk, Zaporizhzhya National Technical University

Postgraduate student

References

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Published

2024-11-05

How to Cite

Subbotyn, S. A., & Oliynyk, A. O. (2024). STRUCTURAL SYNTHESIS OF NEURO MODELS ON THE BASIS OF POLYMODAL EVOLUTIONARY SEARCH. Radio Electronics, Computer Science, Control, (1), 111. https://doi.org/10.15588/1607-3274-2008-1-22

Issue

Section

Neuroinformatics and intelligent systems