1. Using AI methods to find a non-linear regression model with a coupling condition
- Creator:
- Matoušek, Radomil
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- non-linear regression, approximation, genetic algorithms, radial basis function, and optimization
- Language:
- English
- Description:
- 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). The problem solved was based on practical measurements and experiments. The results presented in the paper can be applied to many technical problems in mechanical and civil engineering and other engineering fields. and Obsahuje seznam literatury
- Rights:
- http://creativecommons.org/licenses/by-nc-sa/4.0/ and policy:public