Iraqi Stock Market Prediction Using Hybrid LSTM and CNN Algorithm-Reference-Cited by-同舟云学术

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Iraqi Stock Market Prediction Using Hybrid LSTM and CNN Algorithm

Published:2022-11-15 Issue: Volume: Page:
ISSN:
Container-title:2022 Fifth College of Science International Conference of Recent Trends in Information Technology (CSCTIT)
language:
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Author:

AlHakeem Sama¹,Al-Anber Nashaat²,Atee Hayfaa³

Affiliation:

1. Information Technologies Technical College of Management, Middle Technical University (MTU),Baghad,Iraq

2. Technical College of Management, Middle Technical University (MTU),Baghad,Iraq

3. Institute of Administration Al-Rusafa, Middle Technical University (MTU),Baghad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10145426/10145584/10145669.pdf?arnumber=10145669

Reference22 articles.

1. Stock Market Prediction Using Supervised Machine Learning Algorithm

2. Deep Learning-based Stock Market Prediction;jeba;Proceedings of International Conference on Recent Trends in Computing,2022

3. CNNpred: CNN-based stock market prediction using a diverse set of variables

4. Stock Market Prediction using Ensemble of Deep Neural Networks

5. A CNN-LSTM-based model to forecast stock prices;wenjie;Complexity 2020,2020

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