Recurrent neural network-augmented locally adaptive interpretable regression for multivariate time-series forecasting

HIGHLIGHTS

• who: Multivariate Time-Series Forecasting and colleagues from the Bioinformatics Laboratory, School of Electrical Computer Engineering, Chungbuk National University, Cheongju, Republic of Korea have published the Article: Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting, in the Journal: (JOURNAL)
• what: The authors propose a novel locally adaptive interpretable deep learning architecture that is augmented by recurrent neural networks to provide model explainability high predictive accuracy for data. The authors propose a novel explainable deep learning architecture by improving VOLUME 10, 2022 linear regression predictability based on the recurrent neural_networks. The . . .
  

   

  

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