Publication detail

The Neural models for differrent training algorithms

KOTOL, M.

Original Title

The Neural models for differrent training algorithms

Type

conference paper

Language

English

Original Abstract

This paper is aimed on artificial neural networks that are used for modeling of a transmission channel. The neural networks were trained with different training algorithms and results of estimation were compared. The paper describes the procedure of measurement and the further processing of results.

Keywords

Artificial neural networks, Feed-forward neural networks, training algorithms, measurement, transmission function

Authors

KOTOL, M.

Released

29. 8. 2016

Location

http://www.ieee.cz/

ISBN

978-80-214-5389-0

Book

Sborník příspěvků studentské konference Blansko 2016

Pages from

31

Pages to

34

Pages count

105

URL

http://www.ieee.cz/

BibTex

@inproceedings{BUT129208,
  author="Martin {Kotol}",
  title="The Neural models for differrent training algorithms",
  booktitle="Sborník příspěvků studentské konference Blansko 2016",
  year="2016",
  pages="31--34",
  address="http://www.ieee.cz/",
  isbn="978-80-214-5389-0",
  url="http://www.ieee.cz/"
}