RT Generic
T1 Eco-RETINA: a green flexible algorithm for model building
A1 Capilla, Javier
A1 Alcaraz, Alba
A1 Valarezo Unda, Ángel Eduardo
A1 García Hiernaux, Alfredo Alejandro
A1 Pérez Amaral, Teodosio
AB Eco-RETINA is an innovative and eco-friendly algorithm explicitly designed for out-of-sample prediction. Functioning as a regression-based flexible approximator, it is linear in parameters but nonlinear in inputs, employing a selective model search to optimize performance. The algorithm adeptly manages multicollinearity while emphasizing speed, accuracy, and environmental sustainability. Its modular and transparent structure facilitates easy interpretation and modification, making it an invaluable tool for researchers in developing explicit models for out-of-sample forecasting. The algorithm generates outputs such as a list of relevant transformed inputs, coefficients, standard deviations, and confidence intervals, enhancing its interpretability.
SN 2341-2356
YR 2025
FD 2025-02-03
LK https://hdl.handle.net/20.500.14352/117836
UL https://hdl.handle.net/20.500.14352/117836
LA eng
NO The authors acknowledge the support of the HORIZON Research and Innovation Program of the European Union, under grant agreement No 101120657, project ENFIELD (European Lighthouse to Manifest Trustworthy and Green AI).
DS Docta Complutense
RD 30 mar 2025