Publication result detail

Application of neural networks for classification of AVG signals

PEROUTÍK, J., ROZMAN, J.

Original Title

Application of neural networks for classification of AVG signals

English Title

Application of neural networks for classification of AVG signals

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

classification of AVG signal, neural network, genetic algorithm

Key words in English

classification of AVG signal, neural network, genetic algorithm

Authors

PEROUTÍK, J., ROZMAN, J.

Released

10.05.2001

Publisher

Brno University of Technology

Location

Institute of Radio Electronics, Brno University of Technolo

ISBN

80-214-1861-3

Book

Radioelektronika 2001 Conference Proceedings

Pages from

139

Pages count

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"
}