Polynomial Curve Fitting with Varying Real Powers
AbstractIn this study, the polynomial curve fitting is expanded with real powers by combining the genetic algorithm and the traditional least squares estimator. In general, integer values are used as the power of variables in traditional polynomials. However, the usage of real powers decreased the approximation error on polynomial curve fitting. In addition, the number of parameters is also decreased, when it is compared to the traditional polynomials. But, the number of adapted parameters of the proposed method is bigger than the parameters of traditional polynomials with same conditions. Although the improvements in polynomial curve fitting, the algorithm can be used for the positive input space to avoid the complex outputs. Ill. 5, bibl. 12, tabl. 4 (in English; abstracts in English and Lithuanian).
How to Cite
The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.
By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.