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Research on financial assets transaction prediction model based on LST

In recent years, with the breakthrough of big data and deep learning technology in various fields, many scholars have begun to study the stock market time

doi.orgPublished May 16, 2020
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Overview

In recent years, with the breakthrough of big data and deep learning technology in various fields, many scholars have begun to study the stock market time

Publication information

Publication title
Research on financial assets transaction prediction model based on LSTM neural network
Authors
Xue Yan, Wang Weihan, Miao Chang
Published
May 16, 2020
Venue / journal
Neural Computing and Applications
DOI
10.1007/s00521-020-04992-7 ↗
Publication source
doi.org · 10.1007/s00521-020-04992-7 ↗

Source: Crossref public DOI API · observed Oct 11, 2026.

Publisher page information

Source page title
Research on financial assets transaction prediction model based on LSTM neural network | Neural Computing and Applications | Springer Nature Link
Site name (reported)
SpringerLink
Declared page language
en
Observed source URL
https://link.springer.com/article/10.1007/s00521-020-04992-7 ↗
Publisher canonical URL
https://link.springer.com/article/10.1007/s00521-020-04992-7 ↗
Source metadata observed
Oct 11, 2026

Recorded from the source page’s published HTML metadata. Publisher page language can differ from this directory’s English interface.

Source links & provenance

https://doi.org/10.1007/s00521-020-04992-7 ↗

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