DCEnt‐PredictiveNet: a novel explainable hybrid model for time series forecasting

• المؤلفون الرئيسيون: Sudarshan, Vidya K., Ramachandra, Reshma A., Ojha, Smit, Tan, Ru-San
• مؤلفون آخرون: College of Computing and Data Science
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Computer and Information Science; Time series forecasting; COVID prediction
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/180716

This work presents a novel hybrid framework called DCEnt-PredictiveNet (deep convolutional neural network (DCNN) + entropy + support vector regressor (SVR)) that concatenate both deep and handcrafted features for time series data analysis and forecasting. From the discrete wavelet transform coeffici...