Fréchet Metric in Neural Network Theory

Masárová Renáta ()
Additional contact information
Masárová Renáta: Slovak University of Technology in Bratislava, Faculty of Materials Science and Technology in Trnava, Institute of Applied Informatics, Automation and Mechatronics, Ulica Jána Bottu 2781/25 Trnava, Slovak Republic

Research Papers Faculty of Materials Science and Technology Slovak University of Technology, 2019, vol. 27, issue 45, 102-106

Abstract: This paper deals with application of a modified Fréchet metric to self-organizing neural networks, called Kohenen maps. The methodology used allows us to put more emphasis on the selected parameters in the input data. It can simplify finding the minimal distance dFj, since dFj∈ 〈0,1〉

Keywords: Neural networks; self-organizing maps; Kohenen algorithm; Fréchet metric (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/rput-2019-0032 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:repfms:v:27:y:2019:i:45:p:102-106:n:14

DOI: 10.2478/rput-2019-0032

Access Statistics for this article

Research Papers Faculty of Materials Science and Technology Slovak University of Technology is currently edited by Kvetoslava Rešetová

More articles in Research Papers Faculty of Materials Science and Technology Slovak University of Technology from Sciendo
Bibliographic data for series maintained by Peter Golla ().