Registration Number
2117U009444, Article
popup.category
Стаття
Title
popup.author
Kozhemyako V. P.
Tymchenko L. I.
Kutaev Yu. F.
Yaroviy A. A.
Кожем'яко В. П.
Тимченко Л. І.
Кутаєв Ю. Ф.
Яровий А. А.
popup.publication
22-08-2017
popup.source_user
Вінницький національний технічний університет
popup.source
http://ir.lib.vntu.edu.ua/handle/123456789/18011
popup.publisher
Вінницький державний технічний університет
Description
In this work new approach for parallel-hierarchical (PH) networks learning1 having applied to the real-time image sequences in extended laser paths2 is proposed. It's possible to synthesize PH network with learning abilities by using the general idea of artificial neural networks structured organizations on the scheme: input layer - hidden layer – output layer. The 1-st network level should be used as input layer, next levels should be used as a hidden layer and the last level should be used as an output one, as it is traditionally in artificial neural networks.
popup.nrat_date
2026-10-29