The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction-Reference-Cited by-同舟云学术

The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction

Published:2022-03 Issue: Volume:2 Page:100015
ISSN:2772-6622
Container-title:Decision Analytics Journal
language:en
Short-container-title:Decision Analytics Journal

Author:

Chhajer Parshv,Shah Manan,Kshirsagar Ameya^ORCID

Publisher

Elsevier BV

Reference85 articles.

1. How the stock market works [internet];Kimberly Amadeo,2021

2. Stock market trend prediction using support vector machine;Patil;Int. J. Curr. Trends Eng. Technol.,2016

3. How does the stock market affect the economy? - economics help [internet];Pettinger,2020

4. How does the stock market affect the economy? -trade brains [internet];Divya Premkumar,2020

5. What is prescriptive analytics, and what can it do for your business? | by jair ribeiro | towards data science [internet];Jair Ribeiro;Towar. Data Sci.,2020

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