An auto-extraction framework for cep rules based on the two-layer lstm attention mechanism: a case study on city air pollution forecasting

HIGHLIGHTS

  • who: Yuan Liu et al. from the Ministry of Education Key Laboratory for Modern Teaching Technology, Shaanxi Normal University, Xi'an, China have published the Article: An Auto-Extraction Framework for CEP Rules Based on the Two-Layer LSTM Attention Mechanism: A Case Study on City Air Pollution Forecasting, in the Journal: Energies 2022, 15, 5892. of /2022/
  • what: The authors compare other deep learning models to evaluate the feasibility of the framework. The authors propose LAD (two-layer LSTM attention mechanism with decision tree ), a framework for the auto-extraction of CEP rules. When . . .

     

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