Publication detail

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

JIRSÍK, V., KOZLOVSKÝ, T.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Key words in English

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

Authors

JIRSÍK, V., KOZLOVSKÝ, T.

RIV year

2001

Released

9. 5. 2001

Publisher

MARQ, nám. Msgre Šrámka 6, Ostrava

Location

Ostrava

ISBN

80-85988-57-7

Book

MOSIS'01 - Modelling and Simulation of Systems

Pages from

181

Pages to

188

Pages count

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"
}