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Citation
Tags
HERO ID
1426501
Reference Type
Journal Article
Title
A Fibonacci search technique for model parameter selection
Author(s)
Vardavas, IM
Year
1989
Is Peer Reviewed?
Yes
Journal
Ecological Modelling
ISSN:
0304-3800
Report Number
BIOSIS/90/03641
Volume
48
Issue
1-2
Page Numbers
1-2
Language
eng
Abstract
BIOSIS COPYRIGHT: BIOL ABS. A sequential Fibonacci search technique that includes an objective function sensitivity criterion is used to optimise model parameter selection within a specified search interval. The technique can reduce by about half the number of objective function evaluations that is required by the standard Fibonacci search and includes an automatic parameter range selection. The present technique is ideally suited to complex and nonlinear ecological models for which many parameter sets may fit the data provided the modelling aim is to predict the system's response to external stimuli rather than to determine precisely the optimal values of the individual parameters. Sample applications are given for two nonlinear hydrological models, one with a fairly smooth system output profile and the other with a highly irregular output profile. A test case is also given involving a simple analytical model for in vitro dissolution of uranium in lung fluid.
Keywords
Mathematical Biology and Statistical Methods
;
Radiation-Radiation and Isotope Techniques
;
Biochemical Studies-Minerals
;
Biophysics-Biocybernetics (1972- )
;
Respiratory System-Physiology and Biochemistry
;
Toxicology-Environmental and Industrial Toxicology
;
Public Health: Environmental Health-Air
;
Animalia-Unspecified
Tags
IRIS
•
Uranium
Toxline
Merged reference set
Secondary Refinement
Retained for manual screening
Excluded:
Not chemical specific
Uranium Literature Search Update 3/2017
Toxnet
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