Publication detail

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

MATOUŠEK, R.

Original Title

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

Type

journal article - other

Language

English

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

Regression, RBF, Neural netvork, Genetic algorithm

Authors

MATOUŠEK, R.

RIV year

2011

Released

5. 1. 2011

Publisher

Pavel Heriban

Location

Brno

ISBN

1802-1484

Periodical

Engineering Mechanics

Year of study

17

Number

5/6

State

Czech Republic

Pages from

419

Pages to

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"
}