Publication result detail

Neural Networks in Identification

DOHNAL, J.

Original Title

Neural Networks in Identification

English Title

Neural Networks in Identification

Type

Paper in proceedings (conference paper)

Original Abstract

This paper examines the possibility of using neural networks in the area of continuous identification of parameters of a dynamic system model. It focuses on the two most frequently used methods for network learning, the backpropagation method and the Marquardt – Levenberg method.

English abstract

This paper examines the possibility of using neural networks in the area of continuous identification of parameters of a dynamic system model. It focuses on the two most frequently used methods for network learning, the backpropagation method and the Marquardt – Levenberg method.

Keywords

Backpropagation method, Marquardt – Levenberg method, Neural network

Key words in English

Backpropagation method, Marquardt – Levenberg method, Neural network

Authors

DOHNAL, J.

RIV year

2011

Released

01.04.2003

Publisher

Ing. Zdeněk Novotný CSc.

Location

Brno

ISBN

80-214-2378-1

Book

Student EEICT 2003

Pages from

239

Pages count

5

URL

http://www.feec.vutbr.cz/EEICT/

BibTex

@inproceedings{BUT7676,
  author="Jiří {Dohnal}",
  title="Neural Networks in Identification",
  booktitle="Student EEICT 2003",
  year="2003",
  number="neuvedeno",
  pages="5",
  publisher="Ing. Zdeněk Novotný CSc.",
  address="Brno",
  isbn="80-214-2378-1",
  url="http://www.feec.vutbr.cz/EEICT/"
}