Parameter estimation techniques are of ever-increasing interest in the fields of medicine and biology, as greater efforts are currently being made to describe physiological systems in explicit quantitative form. Although some of the techniques of parameter estimation as developed for use in other engineering and scientific problems may be carried over into physiology, it has nevertheless been necessary to re-examine the entire procedure of estimation, from model formulation to computer selection. The results of this re-examination, as set forth in this paper, give some guidance as to the selection of techniques for the estimation of the parameters of physiological systems
Abstract: A numerical method is presented to determine parameters in a system of non-linear equation...
Abstract: Identification of hybrid systems is complex because it is not a priori known which data is...
Parameter estimation procedures are very important in the chemical engineering field for development...
Parameter estimation techniques are of ever-increasing interest in the fields of medicine and biolog...
The development of mathematical models of physiological systems from measured response data has attr...
In a mathematical representation of a physiological system variables of the model usually correspond...
Mathematical models of biological processes have various applications: to assist in understanding th...
Mathematical models of biological processes have various applications: to assist in understanding th...
The inverse problem of modeling biochemical processes mathematically from measured time course data ...
Parameter estimation is the process of using observations from a system to develop mathematical mode...
Problem statement. Constructing a computational model for a biological sys-tem consists of two main ...
Introductory principles of physiological systems analysis by computer simulation or computation are ...
Parameter estimation plays a central role in many biomedical applications. This dissertation address...
In this study, a parameter estimation method has been developed for models of biomedical pathways. T...
Parameter estimation is a challenging problem for biological systems modelling since the model is no...
Abstract: A numerical method is presented to determine parameters in a system of non-linear equation...
Abstract: Identification of hybrid systems is complex because it is not a priori known which data is...
Parameter estimation procedures are very important in the chemical engineering field for development...
Parameter estimation techniques are of ever-increasing interest in the fields of medicine and biolog...
The development of mathematical models of physiological systems from measured response data has attr...
In a mathematical representation of a physiological system variables of the model usually correspond...
Mathematical models of biological processes have various applications: to assist in understanding th...
Mathematical models of biological processes have various applications: to assist in understanding th...
The inverse problem of modeling biochemical processes mathematically from measured time course data ...
Parameter estimation is the process of using observations from a system to develop mathematical mode...
Problem statement. Constructing a computational model for a biological sys-tem consists of two main ...
Introductory principles of physiological systems analysis by computer simulation or computation are ...
Parameter estimation plays a central role in many biomedical applications. This dissertation address...
In this study, a parameter estimation method has been developed for models of biomedical pathways. T...
Parameter estimation is a challenging problem for biological systems modelling since the model is no...
Abstract: A numerical method is presented to determine parameters in a system of non-linear equation...
Abstract: Identification of hybrid systems is complex because it is not a priori known which data is...
Parameter estimation procedures are very important in the chemical engineering field for development...