In this paper we describe a numerical method to determine adjustable parameters in a mathematical model using experimental data. This is basically an improvement over our earlier method which was based on the idea that the area under the experimental curve must be equal to the integral of the functi
A numerical approach to find parameters using experimental data
β Scribed by Qamar, Ihtzaz ;Husain, S. Wilayat
- Publisher
- Wiley (John Wiley & Sons)
- Year
- 1991
- Tongue
- English
- Weight
- 288 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0748-8025
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β¦ Synopsis
A numerical technique is presented to determine the unknown parameters in a given relationship using the experimental data. In this technique we formulate the required number of independent relationships by integration applied to various parts of the data along with the criterion of the least-squares error with respect to one parameter. The results for two sample systems, one with two parameters and the other with three parameters, are presented. Comparison with the published work shows that the proposed method is less sensitive to the inaccuracies in the experimental data and generates a better fit than the existing methods such as the ordinary least-squares technique. The method can easily be extended to systems with any number of parameters.
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