ArticleEntropy (Basel, Switzerland)2022
A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting.
Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
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- Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction.Entropy (Basel, Switzerland) · 2023Article
- Research on Rapid and Low-Cost Spectral Device for the Estimation of the Quality Attributes of Tea Tree Leaves.Sensors (Basel, Switzerland) · 2023Article
- Smart Soil Water Sensor with Soil Impedance Detected via Edge Electromagnetic Field Induction.Micromachines · 2022Article
- Prediction of Safety Risk Levels of Veterinary Drug Residues in Freshwater Products in China Based on Transformer.Foods (Basel, Switzerland) · 2022Article
- Security Risk Level Prediction of Carbofuran Pesticide Residues in Chinese Vegetables Based on Deep Learning.Foods (Basel, Switzerland) · 2022Article
- Deep Prediction Model Based on Dual Decomposition with Entropy and Frequency Statistics for Nonstationary Time Series.Entropy (Basel, Switzerland) · 2022Article
- Analysis of Improving Effect of Running APP on College Students' Physique by Using Student Data Mining Technology.Computational intelligence and neuroscience · 2022Article
- The Prediction of Enterprise Stock Change Trend by Deep Neural Network Model.Computational intelligence and neuroscience · 2022Article
- Music Individualization Recommendation System Based on Big Data Analysis.Computational intelligence and neuroscience · 2022Article
- System Construction of Athlete Health Information Protection Based on Machine Learning Algorithm.BioMed research international · 2022Article
- Higher Education Management and Student Achievement Assessment Method Based on Clustering Algorithm.Computational intelligence and neuroscience · 2022Article
- Personalized Teaching Strategy of University Ideology Course Based on Lagrange Neural Network and Big Data Technology.Computational intelligence and neuroscience · 2022Article
- Analysis of Human Exercise Health Monitoring Data of Smart Bracelet Based on Machine Learning.Computational intelligence and neuroscience · 2022Article
- A Graph-Related High-Order Neural Network Architecture via Feature Aggregation Enhancement for Identification Application of Diseases and Pests.Computational intelligence and neuroscience · 2022Article
- An Entity Relationship Extraction Model Based on BERT-BLSTM-CRF for Food Safety Domain.Computational intelligence and neuroscience · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Compared with mechanism-based modeling methods, data-driven modeling based on big data has become a popular research field in recent years because of its applicability. However, it is not always better to have more data when building a forecasting model in practical areas. Due to the noise and conflict, redundancy, and inconsistency of big time-series data, the forecasting accuracy may reduce on the contrary. This paper proposes a deep network by selecting and understanding data to improve performance. Firstly, a data self-screening layer (DSSL) with a maximal information distance coefficient (MIDC) is designed to filter input data with high correlation and low redundancy; then, a variational Bayesian gated recurrent unit (VBGRU) is used to improve the anti-noise ability and robustness of the model. Beijing's air quality and meteorological data are conducted in a verification experiment of 24 h PM2.5 concentration forecasting, proving that the proposed model is superior to other models in accuracy.
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Registered trials
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