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Symbolic Regression

In: Mathematical Geosciences

Author

Listed:
  • Joseph L. Awange

    (Curtin University, Department of Spatial Sciences, School of Earth and Planetary Sciences)

  • Béla Paláncz

    (Budapest University of Technology and Economics, Department of Geodesy and Surveying, Faculty of Civil Engineering)

  • Robert H. Lewis

    (Fordham University)

  • Lajos Völgyesi

    (Budapest University of Technology and Economics, Department of Geodesy and Surveying, Faculty of Civil Engineering)

Abstract

The meaning of symbolic regression is illustrated via Kepler’s problem. The concept based on computer algebra is explained. Genetic algorithm to find the optimal tree structure is explained. Application of the Pareto-front for selecting optimal model ensuring a trade-off between complexity and precision is discussed. Numerical 1D and 2D examples are given to demonstrate this technique.

Suggested Citation

  • Joseph L. Awange & Béla Paláncz & Robert H. Lewis & Lajos Völgyesi, 2023. "Symbolic Regression," Springer Books, in: Mathematical Geosciences, edition 2, chapter 12, pages 433-468, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-92495-9_12
    DOI: 10.1007/978-3-030-92495-9_12
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