Comparison of the backpropagation network and the random forest algorithm based on sampling distribution effects consideration for estimating nonphotosynthetic vegetation cover.
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%0 Journal Article
%1 journals/aeog/GuoWLKCFZ21
%A Guo, Zichen
%A Wang, Tao
%A Liu, Shulin
%A Kang, Wenping
%A Chen, Xiang
%A Feng, Kun
%A Zhi, Ying
%D 2021
%J Int. J. Appl. Earth Obs. Geoinformation
%K dblp
%P 102573
%T Comparison of the backpropagation network and the random forest algorithm based on sampling distribution effects consideration for estimating nonphotosynthetic vegetation cover.
%U http://dblp.uni-trier.de/db/journals/aeog/aeog104.html#GuoWLKCFZ21
%V 104
@article{journals/aeog/GuoWLKCFZ21,
added-at = {2021-11-19T00:00:00.000+0100},
author = {Guo, Zichen and Wang, Tao and Liu, Shulin and Kang, Wenping and Chen, Xiang and Feng, Kun and Zhi, Ying},
biburl = {https://www.bibsonomy.org/bibtex/2a038a0ad8fab82792e8969b712cab0a3/dblp},
ee = {https://doi.org/10.1016/j.jag.2021.102573},
interhash = {3a5c3d2250e8c4c412a906a2ad49aabf},
intrahash = {a038a0ad8fab82792e8969b712cab0a3},
journal = {Int. J. Appl. Earth Obs. Geoinformation},
keywords = {dblp},
pages = 102573,
timestamp = {2024-04-09T02:21:04.000+0200},
title = {Comparison of the backpropagation network and the random forest algorithm based on sampling distribution effects consideration for estimating nonphotosynthetic vegetation cover.},
url = {http://dblp.uni-trier.de/db/journals/aeog/aeog104.html#GuoWLKCFZ21},
volume = 104,
year = 2021
}
