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Detail publikačního výsledku
SMETANA, B.; CHVALINA, J.
Original Title
Systems of Fragments of Artificial Neural Networks
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
When we study structure of the most used artificial neural network - a multilayer perceptron and functionality of an artificial neuron, there is possibility using certain analogy with relations between descriptions of differential equations of a certain quality, in this paper is developed new approach to these subjects. In deeper View of point there can be used some concepts of locale finite trees of fragments of artificial neural networks and further to research by usage of monounary algebras and their characteristics with description and modeling systems of investigated structures of time—varying artificial neurons.
English abstract
Keywords
neural network, linear ordinary differential operators, groups of time-varying neurons, locally-finite trees
Key words in English
Authors
RIV year
2021
Released
04.02.2020
ISBN
978-80-227-4983-1
Book
19th Conference on Applied Mathematics Aplimat 2020 Proceedings
Edition
1
Pages from
253
Pages to
270
Pages count
18
Full text in the Digital Library
http://hdl.handle.net/
BibTex
@inproceedings{BUT162602, author="Bedřich {Smetana} and Jan {Chvalina}", title="Systems of Fragments of Artificial Neural Networks", booktitle=" 19th Conference on Applied Mathematics Aplimat 2020 Proceedings", year="2020", series="1", number="1", pages="253--270", isbn="978-80-227-4983-1" }