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%0 Journal Article
%1 journals/access/YangMGDZ19
%A Yang, Xiaoxian
%A Mao, Shunyi
%A Gao, Honghao
%A Duan, Yucong
%A Zou, Qiming
%D 2019
%J IEEE Access
%K dblp
%P 70662-70672
%T Novel Financial Capital Flow Forecast Framework Using Time Series Theory and Deep Learning: A Case Study Analysis of Yu'e Bao Transaction Data.
%U http://dblp.uni-trier.de/db/journals/access/access7.html#YangMGDZ19
%V 7
@article{journals/access/YangMGDZ19,
added-at = {2019-07-05T00:00:00.000+0200},
author = {Yang, Xiaoxian and Mao, Shunyi and Gao, Honghao and Duan, Yucong and Zou, Qiming},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2f961201d08eb660246fefa6dba7d3676/dblp},
ee = {https://doi.org/10.1109/ACCESS.2019.2919189},
interhash = {14f09e53dc6af89c1f8ea1218d5f9044},
intrahash = {f961201d08eb660246fefa6dba7d3676},
journal = {IEEE Access},
keywords = {dblp},
pages = {70662-70672},
timestamp = {2019-09-27T06:49:33.000+0200},
title = {Novel Financial Capital Flow Forecast Framework Using Time Series Theory and Deep Learning: A Case Study Analysis of Yu'e Bao Transaction Data.},
url = {http://dblp.uni-trier.de/db/journals/access/access7.html#YangMGDZ19},
volume = 7,
year = 2019
}
