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JIRSÍK, V., KOZLOVSKÝ, T.
Original Title
The Non-Linear Dynamic System Modelling by Neural Network and Genetic Algorithm
English Title
Type
Paper in proceedings (conference paper)
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.
English abstract
Key words in English
neural networks, non-linear systems, genetic algorithm, optimization, system identification
Authors
Released
09.05.2001
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 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" }