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

Año de publicación: 2018

Título del ejemplar: Special Issue. General Factor of Personality Dynamics

Volumen: 22

Número: 1

Páginas: 29-33

Tipo: Artículo

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

Otras publicaciones en: Revista internacional de sistemas

Resumen

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.

Fuente de los datos: Dialnet