A Deep Learning Approach for Prediction of Stock Price Based on Neural Network Models: LSTM and GRU-Reference-Cited by-同舟云学术

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A Deep Learning Approach for Prediction of Stock Price Based on Neural Network Models: LSTM and GRU

Published:2021-07-06 Issue: Volume: Page:
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Container-title:2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

Polepally Vijayakumar,Nandini Reddy N. Shiva,Sindhuja M.,Anjali N.,Reddy K. Jeevan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9579467/9579470/09579782.pdf?arnumber=9579782

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative Analysis of Optimization Techniques in Ensemble Models for Stock Price Prediction;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

2. Estimate and Predict the Foreign Currency Exchanging Rates by Using Adaptive Neuro Fuzzy Inference System and Deep Learning Algorithms;2024 4th International Conference on Information Communication and Software Engineering (ICICSE);2024-05-10

3. GRU for Overcoming Seasonality and Trend in PM_2.5 Air Pollution Forecasting;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08

4. Fusing Multi-Granularity Data for Stock Trend Prediction with Contrastive Pre-training;Proceedings of the 2023 15th International Conference on Machine Learning and Computing;2023-02-17

5. Gated Recurrent Unit Based On Feature Attention Mechanism For Physical Behavior Recognition Analysis;J APPL SCI ENG;2023

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