Upgrades of Genetic Programming for Data Driven Modelling of Time Series

In many engineering fields and scientific disciplines, the results of experiments are in the form of time series, which can be quite problematic to interpret and model. Genetic programming tools are quite powerful in extracting knowledge from data. In this work, several upgrades and refinements are...

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Veröffentlicht in:	Evolutionary computation Jg. 31; H. 4; S. 1
Hauptverfasser:	Murari, A, Peluso, E, Spolladore, L, Rossi, R, Gelfusa, M
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.12.2023
Schlagworte:	Data Driven Theory Symbolic regression Evolutionary Computation Empirical modelling of signals Genetic Programming Time Series Analysis
ISSN:	1530-9304, 1530-9304
Online-Zugang:	Weitere Angaben
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