Detail publikace

The Non-Linear Dynamic System Modelling by Neural Network and Genetic Algorithm

JIRSÍK, V., KOZLOVSKÝ, T.

Originální název

The Non-Linear Dynamic System Modelling by Neural Network and Genetic Algorithm

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper deals with the setting of optimum neural network parameters using the genetic algorithm. The neural network is a non-linear dynamic system model. In the first part of the paper the structures of the mathematical and neural model and the modelled non-linear system are discussed. Also described is the genetic algorithm used with searching the optimum parameters of the neural network. The graphs in the second part of the paper show optimization curves, and the resultant values of optimum neural network parameters are given in a table. The mathematical and neural model and the genetic algorithm were programmed in Matlab as well as the simulations and calculated values.

Klíčová slova v angličtině

neural networks, non-linear systems, genetic algorithm, optimization, system identification

Autoři

JIRSÍK, V., KOZLOVSKÝ, T.

Rok RIV

2001

Vydáno

9. 5. 2001

Nakladatel

MARQ, nám. Msgre Šrámka 6, Ostrava

Místo

Ostrava

ISBN

80-85988-57-7

Kniha

MOSIS'01 - Modelling and Simulation of Systems

Strany od

181

Strany do

188

Strany počet

8

BibTex

@inproceedings{BUT6938,
  author="Václav {Jirsík} and Tomáš {Kozlovský}",
  title="The Non-Linear Dynamic System Modelling by Neural Network and Genetic Algorithm",
  booktitle="MOSIS'01 - Modelling and Simulation of Systems",
  year="2001",
  pages="8",
  publisher="MARQ, nám. Msgre Šrámka 6, Ostrava",
  address="Ostrava",
  isbn="80-85988-57-7"
}