A genetic algorithm to calibrate dynamical systems: Confidence intervals for parameters and residuals
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Autores: Antonio Caselles Moncho
, Joan Carles Micó i Ruiz , Salvador Amigó Borrás
- Localización: Revista internacional de sistemas, Vol. 22, Nº. Extra 1, 2018 (Ejemplar dedicado a: Special Issue. General Factor of Personality Dynamics), págs. 29-33
- Idioma: español
- DOI: 10.7203/RIS.22.1.11488
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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.
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