Neuroevolutionary reinforcing learning of neural networks

The article presents the results of combining 4 different types of neural network learning: evolutionary, reinforcing, deep and extrapolating. The last two are used as the primary method for reducing the dimension of the input signal of the system and simplifying the process of its training in terms...

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Bibliographic Details
Main Authors: Y. A. Bury, D. I. Samal
Format: Article
Language:English
Published: Belarusian National Technical University 2022-01-01
Series:Системный анализ и прикладная информатика
Subjects:
Online Access:https://sapi.bntu.by/jour/article/view/534
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