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...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Ruobin Gao (16003195) (author)
مؤلفون آخرون:	Minghui Hu (2457952) (author), Ruilin Li (5627456) (author), Xuewen Luo (10012781) (author), Ponnuthurai Nagaratnam Suganthan (11274636) (author), M. Tanveer (1758181) (author)
منشور في:	2025
الموضوعات:	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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

كن أول من يترك تعليقا!

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

مواد مشابهة