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פותח על ידי קלירמאש פתרונות בע"מ -
Optimization of an ecological model with the Marquardt algorithm
Year:
1990
Source of publication :
Ecological Modelling
Authors :
הדס, אביבה
;
.
Volume :
51
Co-Authors:
Barak, P., Department of Soil Science, The University of Minnesota, St. Paul, MN 55108, United States
Molina, J.A.E., Department of Soil Science, The University of Minnesota, St. Paul, MN 55108, United States
Hadas, A., Soil and Water Institute, ARO, The Volcani Center, Bet Degan, 50250, Israel
Clapp, C.E., The Soil and Water Management Research Unit, Midwest Area, USDA Agricultural Research Service, St. Paul, MN 55108, United States
Facilitators :
From page:
251
To page:
263
(
Total pages:
13
)
Abstract:
Optimization of parameters in ecological models can present many challenges, including multiple dependent variables on which to calculate fit, slowly converging search algorithms, nonanalytical derivatives, parameters constrained by their physical meaning in the model to a given sign or range, and excessively long run times for optimization calculations. The Marquardt algorithm has been restructured and an appropriate figure-of-merit function formulated to address these problems. As an example, a soil nitrogen and carbon transformation simulation model (NCSOIL) may be optimized for two and three unknown parameters within ten iterations or less, based on initial guesses of parameter values in error by an order of magnitude. © 1990.
Note:
Related Files :
carbon transformation
ecological model
Marquardt algorithm
nitrogen transformation
soil
עוד תגיות
תוכן קשור
More details
DOI :
10.1016/0304-3800(90)90069-S
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
18779
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:24
Scientific Publication
Optimization of an ecological model with the Marquardt algorithm
51
Barak, P., Department of Soil Science, The University of Minnesota, St. Paul, MN 55108, United States
Molina, J.A.E., Department of Soil Science, The University of Minnesota, St. Paul, MN 55108, United States
Hadas, A., Soil and Water Institute, ARO, The Volcani Center, Bet Degan, 50250, Israel
Clapp, C.E., The Soil and Water Management Research Unit, Midwest Area, USDA Agricultural Research Service, St. Paul, MN 55108, United States
Optimization of an ecological model with the Marquardt algorithm
Optimization of parameters in ecological models can present many challenges, including multiple dependent variables on which to calculate fit, slowly converging search algorithms, nonanalytical derivatives, parameters constrained by their physical meaning in the model to a given sign or range, and excessively long run times for optimization calculations. The Marquardt algorithm has been restructured and an appropriate figure-of-merit function formulated to address these problems. As an example, a soil nitrogen and carbon transformation simulation model (NCSOIL) may be optimized for two and three unknown parameters within ten iterations or less, based on initial guesses of parameter values in error by an order of magnitude. © 1990.
Scientific Publication
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