Analytic Continued Fractions for Regression: A Memetic Algorithm Approach

作者：

Highlights：

• A regression method employing analytic continued fractions as novel representation.

• CFR ranked 1st among the 16 methods for generalisation performances on 94 datasets.

• Statistically comparable to the best 3 algorithms (eplex-1m, xgboost & grad-boost).

• CFR results have been obtained with a limited level of parameter tuning.

摘要

•A regression method employing analytic continued fractions as novel representation.•CFR ranked 1st among the 16 methods for generalisation performances on 94 datasets.•Statistically comparable to the best 3 algorithms (eplex-1m, xgboost & grad-boost).•CFR results have been obtained with a limited level of parameter tuning.

论文关键词：Symbolic regression,Memetic algorithm,Analytic continued fractions

论文评审过程：Received 11 February 2020, Revised 26 March 2021, Accepted 6 April 2021, Available online 20 April 2021, Version of Record 3 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115018