Detail publikace

Using AI Methods to Find a Non-Linear Regression Model with a Coupling Condition

MATOUŠEK, R.

Anglický název

Using AI Methods to Find a Non-Linear Regression Model with a Coupling Condition

Typ

Článek recenzovaný mimo WoS a Scopus

Jazyk

en

Originální abstrakt

In the real-life engineering practice, non-linear regression models have to be designed rather often. To ensure their technical or physical feasibility, such models may, in addition, require another coupling condition. This paper describes two procedures for designing a specific non-linear model using AI methods. A Radial Basis Functions (RBF) based optimization is presented of the model using Genetic Algorithms (GA).

Klíčová slova anglicky

Regression, RBF, Neural netvork, Genetic algorithm

Vydáno

2011-01-05

Nakladatel

Pavel Heriban

Místo

Brno

ISSN

1802-1484

Ročník

17

Číslo

5/6

Strany od–do

419–431

Počet stran

13

BIBTEX


@article{BUT50585,
  author="Radomil {Matoušek}",
  title="Using AI Methods to Find a Non-Linear Regression Model with a Coupling Condition",
  journal="Engineering Mechanics",
  year="2011",
  volume="17",
  number="5/6",
  pages="419--431",
  issn="1802-1484"
}