Predicting stock returns of Tehran exchange using LSTM neural network and feature engineering technique-Reference-Cited by-同舟云学术

Predicting stock returns of Tehran exchange using LSTM neural network and feature engineering technique

Published:2021-03-04 Issue:13 Volume:80 Page:19947-19970
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Dami Sina^ORCID,Esterabi Mohammad

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-021-10778-3.pdf

Reference26 articles.

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4. Anish CM, Majhi B (2016) Hybrid nonlinear adaptive scheme for stock market prediction using feedback FLANN and factor analysis. J Korean Stat Soc 45(1):64–76

5. Asghar MZ, Rahman F, Kundi FM, Ahmad S (2019) Development of stock market trend prediction system using multiple regression. Comput Mathematic Organ Theory 25(3):271–301

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