Detail publikačního výsledku

The Real-Time Identification of Dynamic Systems by using the Neural net Approach

DOHNAL, J., PIVOŇKA, P.

Original Title

The Real-Time Identification of Dynamic Systems by using the Neural net Approach

English Title

The Real-Time Identification of Dynamic Systems by using the Neural net Approach

Type

Paper in proceedings (conference paper)

Original Abstract

Neural networks play significant role in the sphere of control of a dynamic systems. It can be appropriately used for continuous identification of parameters of the system as neural controllers, etc. The neural networks must be correctly learnt to meet our requirements. There is a great number of learn algorithms. Among the most used learning algorithms belong the Levenberg-Marquardt and backpropagation.

English abstract

Neural networks play significant role in the sphere of control of a dynamic systems. It can be appropriately used for continuous identification of parameters of the system as neural controllers, etc. The neural networks must be correctly learnt to meet our requirements. There is a great number of learn algorithms. Among the most used learning algorithms belong the Levenberg-Marquardt and backpropagation.

Keywords

Least square method , Backpropagation method, Marquardt – Levenberg method, Neural network

Key words in English

Least square method , Backpropagation method, Marquardt – Levenberg method, Neural network

Authors

DOHNAL, J., PIVOŇKA, P.

RIV year

2011

Released

01.12.2003

Publisher

CIKLUS, Slovenia

Location

Maribor, Slovenia

ISBN

0-7803-7853-9

Book

IEEE ICIT 2003

Pages from

99

Pages count

5

Full text in the Digital Library

http://hdl.handle.net/

BibTex

@inproceedings{BUT8750,
  author="Jiří {Dohnal} and Petr {Pivoňka}",
  title="The Real-Time Identification of Dynamic Systems by using the Neural net Approach",
  booktitle="IEEE ICIT 2003",
  year="2003",
  pages="5",
  publisher="CIKLUS, Slovenia",
  address="Maribor, Slovenia",
  isbn="0-7803-7853-9"
}