<abstract xmlns="http://www.w3.org/1999/xhtml">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〉</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〉

Fréchet Metric in Neural Network Theory

Slovak University of Technology in Bratislava

Faculty of Materials Science and Technology in Trnava, Institute of Applied Informatics, Automation and Mechatronics

Research Papers Faculty of Materials Science and Technology Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Fréchet Metric in Neural Network Theory"}

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...

Fréchet Metric in Neural Network Theory

Published Online: Dec 16, 2019

Page range: 102 - 106

Received: Aug 26, 2019

Accepted: Oct 23, 2019

DOI: https://doi.org/10.2478/rput-2019-0032

Keywords
Neural networks, self-organizing maps, Kohenen algorithm, Fréchet metric

© 2019 Renáta Masárová, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Fréchet Metric in Neural Network Theory

Published Online: Dec 16, 2019

Page range: 102 - 106

Received: Aug 26, 2019

Accepted: Oct 23, 2019

DOI: https://doi.org/10.2478/rput-2019-0032

KeywordsNeural networks, self-organizing maps, Kohenen algorithm, Fréchet metric

© 2019 Renáta Masárová, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
Neural networks, self-organizing maps, Kohenen algorithm, Fréchet metric