Identification of parameters of evolutionary model of monocyclic cells aggregation with the hop plants example

被引:5
作者
Akimenko, V. V. [1 ]
Zahorodnii, Yu V. [1 ]
Boyko, A. L. [2 ]
机构
[1] Taras Shevchenko Natl Univ Kyiv, Fac Cybernet, UA-01030 Kiev, Ukraine
[2] Taras Shevchenko Natl Univ Kyiv, Inst Biol, UA-01030 Kiev, Ukraine
关键词
Monocyclic age-structured model; Parameter estimation; Stochastic global optimization method;
D O I
10.1016/j.camwa.2013.02.023
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we analyze the temporal evolution of the monocyclic age-structured cells aggregation using the exact analytical solution of the system of temporal-age initial boundary problems for the transport equations. We consider the set of income equation coefficients as a set of parametrical algebraic functions with compact sets of parameter definition. Using the stochastic optimization method we resolve the parameters estimation problem for data of above-ground dried biomass of hop plant observed over 3 seasons. As the relative errors of deviation of simulated curves from points of observed data are less than 7%, we conclude that the age-structured models of cells aggregation are efficient enough to describe the temporal evolution of plant dried biomass. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1547 / 1553
页数:7
相关论文
共 9 条
[1]   The Optimal Control Problem of Monocycle Biological Cells Aggregation [J].
Akimenko, V. V. ;
Zagorodniy, Yu. V. ;
Romanenko, V. V. .
JOURNAL OF AUTOMATION AND INFORMATION SCIENCES, 2010, 42 (09) :42-52
[2]  
Akimenko V.V., 2007, CYBERNET SYST, V43, P90
[3]  
Akimenko V.V., 2011, CYBERNET SYST, V47, P34
[4]  
Akimenko V.V., 2008, CYBERNET SYST, V44, P120
[5]  
Boyko A.L., 2005, PHYTOVIRUSES INDICAT, P37
[6]   Recent developments in parameter estimation and structure identification of biochemical and genomic systems [J].
Chou, I-Chun ;
Voit, Eberhard O. .
MATHEMATICAL BIOSCIENCES, 2009, 219 (02) :57-83
[7]   Parameter estimation in biochemical pathways: A comparison of global optimization methods [J].
Moles, CG ;
Mendes, P ;
Banga, JR .
GENOME RESEARCH, 2003, 13 (11) :2467-2474
[8]  
Tornley J.H.M., 1976, MATH MODELS PLANT PH
[9]  
Zhigljavsky A., 1991, THEORY GLOBAL RANDOM