Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/nca/DonateLSM13
%A Donate, Juan Peralta
%A Li, Xiaodong
%A Sánchez, Germán Gutiérrez
%A de Miguel, Araceli Sanchis
%D 2013
%J Neural Comput. Appl.
%K dblp
%N 1
%P 11-20
%T Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm.
%U http://dblp.uni-trier.de/db/journals/nca/nca22.html#DonateLSM13
%V 22
@article{journals/nca/DonateLSM13,
added-at = {2020-09-10T00:00:00.000+0200},
author = {Donate, Juan Peralta and Li, Xiaodong and Sánchez, Germán Gutiérrez and de Miguel, Araceli Sanchis},
biburl = {https://www.bibsonomy.org/bibtex/2345f5accfa59828935d8896ea8987469/dblp},
ee = {https://doi.org/10.1007/s00521-011-0741-0},
interhash = {81b73bccb6a5c2044d381e66981dbde9},
intrahash = {345f5accfa59828935d8896ea8987469},
journal = {Neural Comput. Appl.},
keywords = {dblp},
number = 1,
pages = {11-20},
timestamp = {2020-09-11T11:38:03.000+0200},
title = {Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm.},
url = {http://dblp.uni-trier.de/db/journals/nca/nca22.html#DonateLSM13},
volume = 22,
year = 2013
}
