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1426501 
Journal Article 
A Fibonacci search technique for model parameter selection 
Vardavas, IM 
1989 
Yes 
Ecological Modelling
ISSN: 0304-3800 
BIOSIS/90/03641 
48 
1-2 
1-2 
eng 
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. 
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 
IRIS
• Uranium
     Toxline
     Merged reference set
     Secondary Refinement
          Retained for manual screening
     Excluded:
          Not chemical specific
     Uranium Literature Search Update 3/2017
          Toxnet