DoME: A deterministic technique for equation development and Symbolic Regression

作者：

Highlights：

• Novel technique for Machine Learning and Symbolic Regression.

• Possibility to explicitly set the complexity of the developed expression.

• Results compared to other Symbolic Regression techniques and better on a large number of datasets.

• Much simpler expressions than in GP.

摘要

•Novel technique for Machine Learning and Symbolic Regression.•Possibility to explicitly set the complexity of the developed expression.•Results compared to other Symbolic Regression techniques and better on a large number of datasets.•Much simpler expressions than in GP.

论文关键词：Symbolic regression,Machine learning,Artificial intelligence

论文评审过程：Received 16 August 2020, Revised 18 January 2022, Accepted 20 February 2022, Available online 4 March 2022, Version of Record 11 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116712