A genetic algorithm to calibrate dynamical systemsConfidence intervals for parameters and residuals

  1. Caselles, Antonio
  2. Micó, Joan C
  3. Amigó, Salvador
Revista:
Revista internacional de sistemas

ISSN: 0214-6533

Ano de publicación: 2018

Título do exemplar: Special Issue. General Factor of Personality Dynamics

Volume: 22

Número: 1

Páxinas: 29-33

Tipo: Artigo

DOI: 10.7203/RIS.22.1.11488 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: Revista internacional de sistemas

Resumo

This paper presents a genetic algorithm to calibrate dynamical systems that is able to calculate confidence intervals for the parameters of the system. As an application case is used to calibrate the system that reproduces the dynamical response of the General Factor of Personality (GFP) to a given stimulus, particularly to a stimulant drug dose. The model is called in Literature as the response model and includes an integro-differential equation. The presented application case is a single case ABC experimental design where the stimulus is methylphenidate.

Fonte de datos: Dialnet