Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting

Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting

<p dir="ltr">The deep random vector functional link (dRVFL) and ensemble dRVFL (edRVFL) succeed in various tasks and achieve state-of-the-art performance compared with other randomized neural networks (NNs). However, existing edRVFL structures need more diversity and error correction...

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Bibliographic Details
Main Author: Ruobin Gao (16003195) (author)
Other Authors: Minghui Hu (2457952) (author), Ruilin Li (5627456) (author), Xuewen Luo (10012781) (author), Ponnuthurai Nagaratnam Suganthan (11274636) (author), M. Tanveer (1758181) (author)
Published: 2025
Subjects:
Information and computing sciences
Artificial intelligence
Machine learning
Ensemble deep learning
forecasting
machine learning
multiple output layers
random vector functional link (RVFL) neural networks (NNs)
randomized NNs
transformers
Artificial neural networks
Training
Feature extraction
Vectors
Forecasting
Transformers
Learning systems
Uncertainty
Stochastic processes
Computational modeling
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