Cuckoo Search Optimization and Long-Term Memory-based Stock Price Prediction Model with Improved Classification Performance-Reference-Cited by-同舟云学术

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Cuckoo Search Optimization and Long-Term Memory-based Stock Price Prediction Model with Improved Classification Performance

Published:2022-10-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
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Author:

Swathi T.¹,Kasiviswanath N.²,Rao A. Ananda³

Affiliation:

1. Jawaharlal Nehru Technological University,Department of computer Science and Engineering,Ananthapuramu,India,515002

2. G.Pulla Reddy Engineering College,Department of computer Science and Engineering,Kurnool,India,518002

3. Vice Chancellor Rayalaseema University,Kurnool,India,518002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9987721/9988754/09989038.pdf?arnumber=9989038

Reference21 articles.

1. Stock trend prediction using Ensemble learning techniques in python;rajesh;Int J Innov Technol Explor Eng,2019

2. An Empirical Study of Machine Learning Algorithms for Stock Daily Trading Strategy

3. A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction

4. A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network

5. Stock market analysis using candlestick regression and market trend prediction (CKRM)

Cited by 2 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. Profitability trend prediction in crypto financial markets using Fibonacci technical indicator and hybrid CNN model;Journal of Big Data;2024-04-28

2. Hybrid Ensemble Learning Framework: Predicting Mutual Fund Prices in India with Machine Learning Models;2023

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