TRNN: An efficient time-series recurrent neural network for stock price prediction

Information Sciences, Journal Year: 2023, Volume and Issue: 657, P. 119951 - 119951

Published: Nov. 29, 2023

Language: Английский

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A multi-scale analysis method with multi-feature selection for house prices forecasting

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112779 - 112779

Published: Jan. 1, 2025

Language: Английский

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Innovative ensemble system based on mixed frequency modeling for wind speed point and interval forecasting

Information Sciences, Journal Year: 2022, Volume and Issue: 622, P. 560 - 586

Published: Dec. 6, 2022

Language: Английский

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Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Journal Year: 2023, Volume and Issue: 14(1)

Published: Sept. 28, 2023

Abstract Accurately predicting the prices of financial time series is essential and challenging for sector. Owing to recent advancements in deep learning techniques, models are gradually replacing traditional statistical machine as first choice price forecasting tasks. This shift model selection has led a notable rise research related applying forecasting, resulting rapid accumulation new knowledge. Therefore, we conducted literature review relevant studies over past 3 years with view aiding researchers practitioners field. delves deeply into learning‐based models, presenting information on architectures, practical applications, their respective advantages disadvantages. In particular, detailed provided advanced such Transformers, generative adversarial networks (GANs), graph neural (GNNs), quantum (DQNNs). The present contribution also includes potential directions future research, examining effectiveness complex structures extending from point prediction interval using scrutinizing reliability validity decomposition ensembles, exploring influence data volume performance. article categorized under: Technologies > Prediction Artificial Intelligence

Language: Английский

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Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 148, P. 110867 - 110867

Published: Sept. 22, 2023

Language: Английский

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Stock index forecasting based on multivariate empirical mode decomposition and temporal convolutional networks

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 142, P. 110356 - 110356

Published: April 30, 2023

Language: Английский

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Intelligent forecasting model of stock price using neighborhood rough set and multivariate empirical mode decomposition

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 122, P. 106106 - 106106

Published: March 14, 2023

Language: Английский

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Novel optimization approach for realized volatility forecast of stock price index based on deep reinforcement learning model

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 233, P. 120880 - 120880

Published: June 22, 2023

Language: Английский

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Improving the accuracy of multi-step prediction of building energy consumption based on EEMD-PSO-Informer and long-time series

Computers & Electrical Engineering, Journal Year: 2023, Volume and Issue: 110, P. 108845 - 108845

Published: July 18, 2023

Language: Английский

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Stock ranking prediction using a graph aggregation network based on stock price and stock relationship information

Information Sciences, Journal Year: 2023, Volume and Issue: 643, P. 119236 - 119236

Published: May 29, 2023

Language: Английский

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