کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4628888 1340569 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An integration-based method for estimating parameters in a system of differential equations
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
An integration-based method for estimating parameters in a system of differential equations
چکیده انگلیسی

The application of ordinary differential equations to modelling the physical world is extensive and widely studied in many fields including physics, engineering and bioinformatics. Using these models to predict the behaviour of important state variables given particular parameter values has been extensively studied. On the other hand the inverse problem of predicting parameter values that will fit a solution of a differential equation to observed data has traditionally only been considered by using a few methods, many of which approach the problem via a least squares fit method. These methods either can only be applied when the differential equation being studied has a closed form solution or can become very computationally intensive when applying it to a system that can only be solved numerically and hence require optimisation algorithms. We propose an integration-based method that transforms an ordinary differential equation to an algebraic system of equations for which we solve for the unknown parameters in our equation. The method is computationally unintensive, can be extended to systems of differential equations and the number of parameters that can be estimated is not restricted. We demonstrate the method by simulating data, with and without noise, from a number of biological models described by ordinary differential equations and then estimate the parameters via the proposed technique.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 219, Issue 18, 15 May 2013, Pages 9700–9708
نویسندگان
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