Prediction of stock price growth for novel greedy heuristic optimized multi-instances quantitative (NGHOMQ)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-022-01801-3.pdf
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3. Chhajer P, Shah M, Kshirsagar A (2022) The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction. Decis Anal J 2:100015. https://doi.org/10.1016/j.dajour.2021.100015
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5. Ebrahimabadi A, Azimipour M, Bahreini A (2015) Prediction of roadheaders’ performance using artificial neural network approaches (MLP and KOSFM). J Rock Mech Geotech Eng 7:573–583. https://doi.org/10.1016/j.jrmge.2015.06.008
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1. A Predictive Model of the Stock Market Using the LSTM Algorithm with a Combination of Exponential Moving Average (EMA) and Relative Strength Index (RSI) Indicators;Journal of The Institution of Engineers (India): Series B;2024-03-28
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