Detail publikace

Neural Network in Pattern Recognition

SMETANA, B.

Originální název

Neural Network in Pattern Recognition

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Neural networks represent a phenomenon that occurs in many applications in both technical and military fields. One of the possibilities of modeling these networks is the use of timevarying artificial neurons and the exploration of the algebraic structures of these neurons. Pattern recognition is one of the main areas of application including methodological significance. This article tries to show some fresh findings in combination with selected facts from mathematical theory showing advantages but also limitations of neural networks.

Klíčová slova

structures of time-varying artificial neurons, pattern recognition, polynomial curve fitting

Autoři

SMETANA, B.

Vydáno

14. 6. 2018

Místo

Brno

ISBN

978-80-7582-040-2

Kniha

Matematika, informační technologie a aplikované vědy (MITAV 2018)

Strany od

1

Strany do

10

Strany počet

10

URL

http://mitav.unob.cz/data/v4%20Program%20MITAV%202018.pdf

BibTex

@inproceedings{BUT148490,
  author="Bedřich {Smetana}",
  title="Neural Network in Pattern Recognition",
  booktitle="Matematika, informační technologie a aplikované vědy (MITAV 2018)",
  year="2018",
  pages="1--10",
  address="Brno",
  isbn="978-80-7582-040-2",
  url="http://mitav.unob.cz/data/v4%20Program%20MITAV%202018.pdf"
}