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SNR: Symbolic network-based rectifiable learning framework for symbolic regression

Liu, JY; Li, WJ; Yu, LN; Wu, M; Sun, LJ; Li, WQ; Li, YJ

Li, WJ; Yu, LN (通讯作者)，Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China.;Li, WJ; Yu, LN (通讯作者)，Univ Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing 100049, Peoples R China.;Li, WJ; Yu, LN (通讯作者)，Univ Chinese Acad Sci, Sch Integrated Circuits, Beijing 100049, Peoples R China.;Li, WJ; Yu, LN (通讯作者)，Beijing Key Lab Semicond Neural Network Intelligen, Beijing 100083, Peoples R China.

NEURAL NETWORKS, 2023; 165 (): 1021

Abstract

Symbolic regression (SR) can be utilized to unveil the underlying mathematical expressions that de-scribe a given set of observed data. At present, SR......

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