Forecasting Ionospheric foF2 Using Bidirectional LSTM and Attention Mechanism

Forecasting Ionospheric foF2 Using Bidirectional LSTM and Attention Mechanism

Abstract The critical frequency of ionospheric F2 layer (foF2) is an important ionospheric characteristic parameter. In this paper, a deep learning model based on Bidirectional long short‐term memory (BiLSTM) and attention mechanism is implemented for predicting the foF2 parameter. The inputs of mod...

Full description

Saved in:

Bibliographic Details
Main Authors:	Jun Tang, Dengpan Yang, Mingfei Ding
Format:	Article
Language:	English
Published:	Wiley 2023-11-01
Series:	Space Weather
Subjects:	ionosphere foF2 forecasting LSTM BiLSTM attention mechanism
Online Access:	https://doi.org/10.1029/2023SW003508
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Relationships Between foF2 and Various Solar Activity Proxies
by: Jan Laštovička, et al.
Published: (2023-04-01)

Research on Chinese predicate head recognition based on Highway-BiLSTM network
by: Ruizhang HUANG, et al.
Published: (2021-01-01)

Monthly Precipitation Prediction Based on Attention-BiLSTM Model
by: CHENG Yuxiang, et al.
Published: (2024-06-01)

Short-Term Power Load Prediction Method Based on VMD and EDE-BiLSTM
by: Yibo Lai, et al.
Published: (2025-01-01)

Data‐Driven Forecasting of Low‐Latitude Ionospheric Total Electron Content Using the Random Forest and LSTM Machine Learning Methods
by: Gebreab K. Zewdie, et al.
Published: (2021-06-01)

RETRACTED: Application of VMD–SSA–BiLSTM algorithm to smart grid financial market time series forecasting and sustainable innovation management
by: Chengran Yin, et al.
Published: (2023-07-01)

Deep BiLSTM Attention Model for Spatial and Temporal Anomaly Detection in Video Surveillance
by: Sarfaraz Natha, et al.
Published: (2025-01-01)

Sign Language Recognition Based on CNN-BiLSTM Using RF Signals
by: Yajun Zhang, et al.
Published: (2024-01-01)

Neural network and Markov based combination prediction algorithm of video popularity
by: Xuesen MA, et al.
Published: (2021-08-01)

Regional Ionospheric Parameter Estimation by Assimilating the LSTM Trained Results Into the SAMI2 Model
by: Jeong‐Heon Kim, et al.
Published: (2020-10-01)

NeuralACT: Accounting Analytics Using Neural Network for Real-Time Decision Making From Big Data
by: Leonidas Theodorakopoulos, et al.
Published: (2025-01-01)

A Semantic-Context Embedding Enhanced Attention Fusion BiLSTM: Unraveling Multilingual Sentiments in Product Reviews with Advanced Deep Learning
by: Amit Purohit, et al.
Published: (2024-01-01)

Investigation into the Prediction of Ship Heave Motion in Complex Sea Conditions Utilizing Hybrid Neural Networks
by: Yuchen Liu, et al.
Published: (2024-12-01)

Research on ionospheric parameters prediction based on deep learning
by: Yuntian FENG, et al.
Published: (2021-04-01)

ED‐ConvLSTM: A Novel Global Ionospheric Total Electron Content Medium‐Term Forecast Model
by: Guozhen Xia, et al.
Published: (2022-08-01)

Prediction of cold region dew volume based on an ECOA-BiTCN-BiLSTM hybrid model
by: Yi Zhang, et al.
Published: (2025-02-01)

Short-term output prediction of wind-photovoltaic power based on time-frequency decomposition
by: Yangfan Zhang, et al.
Published: (2025-01-01)

MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data
by: Mahdiyeh Fathi, et al.
Published: (2024-12-01)

Pengenalan Entitas Bernama Menggunakan Bi-LSTM pada Chatbot Bahasa Indonesia
by: Anshar Zulhilmi, et al.
Published: (2024-10-01)

FBiLSTM-Attention short-term load forecasting based on fuzzy logic
by: Yan ZHANG, et al.
Published: (2025-02-01)

Housing Price Forecasting Using AI (LSTM)
by: Hossein Ziyadi, et al.
Published: (2023-12-01)

An Efficient and Hybrid Deep Learning-Driven Model to Enhance Security and Performance of Healthcare Internet of Things
by: Muhammad Babar, et al.
Published: (2025-01-01)

Deep Learning Approach in Seismology: Enhancing Earthquake Forecasting using K-Means Clustering and LSTM Networks
by: Tyanita Puti Marindah Wardhani, et al.
Published: (2025-01-01)

Forecasting Equatorial Ionospheric Convective Instability With ICON Satellite Measurements
by: D. L. Hysell, et al.
Published: (2023-05-01)

Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory
by: Mumtaz Ali, et al.
Published: (2025-03-01)

Research on coreference resolution technology of entity in information security
by: Han ZHANG, et al.
Published: (2020-02-01)

Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL
by: WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui
Published: (2025-01-01)

Using ICON Satellite Data to Forecast Equatorial Ionospheric Instability Throughout 2022
by: D. L. Hysell, et al.
Published: (2024-03-01)

Empowering Urdu sentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT
by: Lal Khan, et al.
Published: (2024-11-01)

Deep Learning for Global Ionospheric TEC Forecasting: Different Approaches and Validation
by: Xiaodong Ren, et al.
Published: (2022-05-01)

Assessing the performance and interpretability of the CNN-LSTM-Attention model for daily streamflow forecasting in typical basins of the eastern Qinghai-Tibet Plateau
by: Chuchu Zhang, et al.
Published: (2025-01-01)

Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM
by: Kazuki Hebiguchi, et al.
Published: (2025-01-01)

Named Entity Recognition Model Based on the Fusion of Word Vectors and Category Vectors
by: Yang Zhou, et al.
Published: (2024-01-01)

Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization
by: Akella Subrahmanya Narasimha Raju, et al.
Published: (2025-01-01)

Breast cancer classification based on hybrid CNN with LSTM model
by: Mourad Kaddes, et al.
Published: (2025-02-01)

Reservoir Flood Forecasting Based on Long-Short-Term Memory Neural Network
by: LUO Zhaolin, et al.
Published: (2022-01-01)

Comparison of BP and LSTM Neural Network for Hydrologic Forecasting of a Small Watershed in Fujian
by: CUI Wei, et al.
Published: (2020-01-01)

Potential of Regional Ionosphere Prediction Using a Long Short‐Term Memory Deep‐Learning Algorithm Specialized for Geomagnetic Storm Period
by: Jeong‐Heon Kim, et al.
Published: (2021-09-01)

The 2022 Starlink Geomagnetic Storms: Global Thermospheric Response to a High‐Latitude Ionospheric Driver
by: D. D. Billett, et al.
Published: (2024-02-01)

Lunar Calendar Usage to Improve Forecasting Accuracy Rainfall via Machine Learning Methods
by: Gumgum Darmawan, et al.
Published: (2025-01-01)