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

Information Sciences, Год журнала: 2023, Номер 657, С. 119951 - 119951

Опубликована: Ноя. 29, 2023

Язык: Английский

---

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

Applied Soft Computing, Год журнала: 2025, Номер unknown, С. 112779 - 112779

Опубликована: Янв. 1, 2025

Язык: Английский

---

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

Information Sciences, Год журнала: 2022, Номер 622, С. 560 - 586

Опубликована: Дек. 6, 2022

Язык: Английский

---

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, Год журнала: 2023, Номер 14(1)

Опубликована: Сен. 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

Язык: Английский

---

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

Applied Soft Computing, Год журнала: 2023, Номер 148, С. 110867 - 110867

Опубликована: Сен. 22, 2023

Язык: Английский

---

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

Applied Soft Computing, Год журнала: 2023, Номер 142, С. 110356 - 110356

Опубликована: Апрель 30, 2023

Язык: Английский

---

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

Engineering Applications of Artificial Intelligence, Год журнала: 2023, Номер 122, С. 106106 - 106106

Опубликована: Март 14, 2023

Язык: Английский

---

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

Expert Systems with Applications, Год журнала: 2023, Номер 233, С. 120880 - 120880

Опубликована: Июнь 22, 2023

Язык: Английский

---

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

Computers & Electrical Engineering, Год журнала: 2023, Номер 110, С. 108845 - 108845

Опубликована: Июль 18, 2023

Язык: Английский

---

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

Information Sciences, Год журнала: 2023, Номер 643, С. 119236 - 119236

Опубликована: Май 29, 2023

Язык: Английский

---