6533b7d5fe1ef96bd12651c0

RESEARCH PRODUCT

A genetic algorithm to calibrate dynamical systems: Confidence intervals for parameters and residuals

Salvador AmigóJoan C. MicóAntonio Caselles

subject

Response modelDynamical systems theoryIntegro-differential equationGeneral MedicineStimulus (physiology)General Factor of PersonalityConfidence intervalDynamicsUNESCO::FILOSOFÍAGenetic algorithm:FILOSOFÍA [UNESCO]CalibrationMethylphenidateStimulant drugMATEMATICA APLICADAAlgorithmMathematics

description

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.

yearjournalcountryeditionlanguage
2018-02-20
http://hdl.handle.net/10251/123866