Пожалуйста, войдите в систему, чтобы принять участие в дискуссии (добавить собственные рецензию, или комментарий)
Цитировать эту публикацию
%0 Journal Article
%1 journals/ijsysc/GanCCZ16
%A Gan, Min
%A Chen, C. L. Philip
%A Chen, Long
%A Zhang, Chun-Yang
%D 2016
%J Int. J. Systems Science
%K dblp
%N 8
%P 1868-1876
%T Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series.
%U http://dblp.uni-trier.de/db/journals/ijsysc/ijsysc47.html#GanCCZ16
%V 47
@article{journals/ijsysc/GanCCZ16,
added-at = {2019-09-16T00:00:00.000+0200},
author = {Gan, Min and Chen, C. L. Philip and Chen, Long and Zhang, Chun-Yang},
biburl = {https://www.bibsonomy.org/bibtex/236f164e3336d3cd158ffc24591d66b74/dblp},
ee = {https://doi.org/10.1080/00207721.2014.955552},
interhash = {014c8a0e377bd6c493f87ff5086a98ec},
intrahash = {36f164e3336d3cd158ffc24591d66b74},
journal = {Int. J. Systems Science},
keywords = {dblp},
number = 8,
pages = {1868-1876},
timestamp = {2019-09-17T11:49:05.000+0200},
title = {Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series.},
url = {http://dblp.uni-trier.de/db/journals/ijsysc/ijsysc47.html#GanCCZ16},
volume = 47,
year = 2016
}