Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives

Symbolic regression (SR) is a machine learning-based regression method based on genetic programming principles that integrates techniques and processes from heterogeneous scientific fields and is capable of providing analytical equations purely from data. This remarkable characteristic diminishes th...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Archives of computational methods in engineering Jg. 30; H. 6; S. 3845 - 3865
Hauptverfasser:	Angelis, Dimitrios, Sofos, Filippos, Karakasidis, Theodoros E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.07.2023 Springer Nature B.V
Schlagworte:	Algorithms Approximation Artificial intelligence Big Data Classification Deep learning Engineering Genetic algorithms Machine learning Materials science Mathematical and Computational Engineering Neural networks Partial differential equations Physical properties Physical sciences Physics Regression Review Review Article Support vector machines
ISSN:	1134-3060, 1886-1784, 1886-1784
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!