The Evolution of Mathematical Algorithmic Equations by Artificial Intelligence: 2020-2025

AI has become a fast-evolving interdisciplinary research area that incorporates all the techniques like machine learning, symbolic computation, and physical sciences and mathematical equations. Symbolic regression, one of the machine learning algorithm, is used to discover a mathematical equation that most accurately represents a given data set. Deep learning models have shown striking strength in arriving solutions to advanced mathematical equations, such as differential equations.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-28
DOI
https://doi.org/10.5281/zenodo.15760783
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

The Evolution of Mathematical Algorithmic Equations by Artificial Intelligence: 2020-2025

Zenodo (CERN European Organization for Nuclear Research)
Model Reduction and Neural Networks
article

The Evolution of Mathematical Algorithmic Equations by Artificial Intelligence: 2020-2025

article en

Abstract

AI has become a fast-evolving interdisciplinary research area that incorporates all the techniques like machine learning, symbolic computation, and physical sciences and mathematical equations. Symbolic regression, one of the machine learning algorithm, is used to discover a mathematical equation that most accurately represents a given data set. Deep learning models have shown striking strength in arriving solutions to advanced mathematical equations, such as differential equations.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 65%
Model Reduction and Neural Networks
DOIOpen Access PDFOpenAlex
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The Evolution of Mathematical Algorithmic Equations by Artificial Intelligence: 2020-2025 · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS