regression analysis

(redirected from Curve fitting problem)
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This paper elucidates the feasibility of using RBFs in a linear combination to fit a set of data points disturbed by noise; that is, we propose a new method to tackle the curve fitting problem using a strictly linear combination of RBFs.
The task of curve fitting problem is minimizing the above loss function L([theta]) [21].
In a recent article in this journal, Forster and Sober [1994] claim that a solution to the curve fitting problem is to be found in the statistical work of Akaike [1973, 1974].
They are applied to compute all relevant parameters of our curve fitting problem. A typical shortcoming in this regard is that the accuracy of the model increases as the number of poles increases, eventually leading to overfitting.