Detail publikačního výsledku

Application of neural networks for classification of AVG signals

PEROUTÍK, J., ROZMAN, J.

Originální název

Application of neural networks for classification of AVG signals

Anglický název

Application of neural networks for classification of AVG signals

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

The paper describes the developed algorithm for classification of AVG signals. This algorithm is based on combination of feed-forward neural networks and genetics algorithms. The proper classification is necessary for the diagnostic of ischemic disease of lower limbs.

Anglický abstrakt

The paper describes the developed algorithm for classification of AVG signals. This algorithm is based on combination of feed-forward neural networks and genetics algorithms. The proper classification is necessary for the diagnostic of ischemic disease of lower limbs.

Klíčová slova

classification of AVG signal, neural network, genetic algorithm

Klíčová slova v angličtině

classification of AVG signal, neural network, genetic algorithm

Autoři

PEROUTÍK, J., ROZMAN, J.

Vydáno

10.05.2001

Nakladatel

Brno University of Technology

Místo

Institute of Radio Electronics, Brno University of Technolo

ISBN

80-214-1861-3

Kniha

Radioelektronika 2001 Conference Proceedings

Strany od

139

Strany počet

3

BibTex

@inproceedings{BUT3199,
  author="Jiří {Peroutík} and Jiří {Rozman}",
  title="Application of neural networks for classification of AVG signals",
  booktitle="Radioelektronika 2001 Conference Proceedings",
  year="2001",
  number="první",
  pages="3",
  publisher="Brno University of Technology",
  address="Institute of Radio Electronics,
Brno University of Technolo",
  isbn="80-214-1861-3"
}