Divide and Conquer: A Quick Scheme for Symbolic Regression

DOI10.1142/S0219876221420020OpenAlexW3209853741MaRDI QIDQ6172979

Chen Chen, Zonglin Jiang, Changtong Luo

Publication date: 21 July 2023

Published in: International Journal of Computational Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219876221420020

zbMATH Keywords

mathematical modelinggenetic programmingmachine learningsymbolic regressiondivide and conquerbi-correlation test

Mathematics Subject Classification ID

Numerical analysis (65-XX) Computer science (68-XX)

Cites Work

• Discovering governing equations from data by sparse identification of nonlinear dynamical systems
• Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning
• A greedy search tree heuristic for symbolic regression
• An energy approach to the solution of partial differential equations in computational mechanics via machine learning: concepts, implementation and applications
• Unnamed Item

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