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Symbolic Regression via Genetic Programming to derive Empirical Models and Scaling Laws as Monomial or Polynomial Expansions.

Symbolic Regression via Genetic Programming to derive Empirical Models and Scaling Laws as Monomial or Polynomial Expansions.

Murari A;
2014

Abstract

Symbolic Regression via Genetic Programming to derive Empirical Models and Scaling Laws as Monomial or Polynomial Expansions.
2014
Istituto gas ionizzati - IGI - Sede Padova
Inglese
EPS europhysics conference abstracts - 41st EPS Conference on Plasma Physics
41st EPS Conference on Plasma Physics
1
4
4
2-914771-90-8
http://ocs.ciemat.es/EPS2014PAP/pdf/P2.029.pdf
European Physical Society (EPS)
Mulhouse
FRANCIA
No
23 - 27 June 2014
Berlin, Germany
-
P2.029 / http://ocs.ciemat.es/EPS2014PAP/html/
2-s2.0-84992154380
5
none
Peluso, E; Murari, A; Lupelli, I; Gelfusa, M; Gaudio, P
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
   EU Fusion for ITER Applications
   EUFORIA
   FP7
   211804
04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/250622
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