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...

Celý popis

Podrobná bibliografia

Vydané v:	Evolutionary computation Ročník 31; číslo 4; s. 1
Hlavní autori:	Murari, A, Peluso, E, Spolladore, L, Rossi, R, Gelfusa, M
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.12.2023
Predmet:	Data Driven Theory Symbolic regression Evolutionary Computation Empirical modelling of signals Genetic Programming Time Series Analysis
ISSN:	1530-9304, 1530-9304
On-line prístup:	Zistit podrobnosti o prístupe
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!