Title :
Genetic Algorithm of Structural Identification of Interval Models of Static Systems
Author :
Manzhula, Volodymyr
Author_Institution :
Ternopil State Econ. Univ., Ternopil
Abstract :
In this paper basic principles of construction of genetic algorithms of structural identification of interval models of the static systems are formulated on the basis of experimental data. A new criterion of selection of models that is offered is the modified criterion of completeness for the case of the known experimental data.
Keywords :
genetic algorithms; identification; genetic algorithm; interval models; static systems; structural identification; Conferences; Data acquisition; Equations; Genetic algorithms; Intelligent structures; Polynomials; Stochastic processes; Stochastic systems; static systems; structural identification;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE
Conference_Location :
Sofia
Print_ISBN :
0-7803-9445-3
Electronic_ISBN :
0-7803-9446-1
DOI :
10.1109/IDAACS.2005.283038
