Publication detail

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

MATOUŠEK, R.

English title

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

Type

Peer-reviewed article not indexed in WoS or Scopus

Language

en

Original abstract

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).

Keywords in English

Regression, RBF, Neural netvork, Genetic algorithm

Released

2011-01-05

Publisher

Pavel Heriban

Location

Brno

ISSN

1802-1484

Volume

17

Number

5/6

Pages from–to

419–431

Pages count

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"
}