Publication detail

Neural Network in Pattern Recognition

SMETANA, B.

Original Title

Neural Network in Pattern Recognition

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

SMETANA, B.

Released

14. 6. 2018

Location

Brno

ISBN

978-80-7582-040-2

Book

Matematika, informační technologie a aplikované vědy (MITAV 2018)

Pages from

1

Pages to

10

Pages count

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"
}