Stock Prediction with Stacked-LSTM Neural Networks-Reference-Cited by-同舟云学术

Stock Prediction with Stacked-LSTM Neural Networks

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C)
language:
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Author:

Zhang Xiaochun¹,Li Chen²,Chen Kuan-Lin²,Chrysostomou Dimitrios²,Yang Hongji³

Affiliation:

1. School of Management Science and Engineering, Anhui University of Financial and Economics,China

2. Aalborg University,Department of Materials and Production,Denmark

3. School of Computing and Mathematical Sciences, Leicester University,UK

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9741747/9741863/09742308.pdf?arnumber=9742308

Reference18 articles.

1. A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices

2. Prediction of Shanghai Stock Index based on LR Type Fuzzy Output Regression Model;zhao;Journal of Mathematical Economics,2013

3. A recurrent neural network approach in predicting daily stock prices an application to the Sri Lankan stock market

4. Recurrent Neural Networks Approach to the Financial Forecast of Google Assets;persio;International Journal of Mathematics and Computers in Simulation naun New Jersey USA,2017

5. Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform

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