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The Deep Random Vector Functional Link (dRVFL) network is an extension of the shallow RVFL network in the context of representation learning or deep learning.
Jun 30, 2019 · In this paper, we propose a deep learning framework based on randomized neural network. In particular, inspired by the principles of Random Vector Functional ...
In this paper, we propose deep learning frameworks based on the randomized neural network. Inspired by the principles of Random Vector Functional Link (RVFL) ...
Nov 10, 2022 · Our present work first fills the gap of dRVFL and edRVFL work in the field of regression. We test and evaluate the performances of the dRVFLs on regression ...
Jun 2, 2024 · We propose a novel edRVFL based on fuzzy inference system (edRVFL-FIS). The proposed edRVFL-FIS leverages the capabilities of two emerging domains.
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This paper proposes a novel ensemble deep Random Vector Functional Link (edRVFL) network for electricity load forecasting. The weights of hidden layers are ...
This paper proposes a novel ensemble deep Random Vector Functional Link (edRVFL) network for electricity load forecasting. The weights of hidden layers are ...
In this paper, deep RVFL and its ensembles are enabled to incorporate privileged information, as the standard RVFL model and its deep models are unable to use ...
The esc-. edRVFL is identified as the best-performing algorithm through a comprehensive evaluation of 31 UCI datasets. Index Terms—Ensemble, neural networks, ...
In this paper, we propose deep learning frameworks based on the randomized neural network. Inspired by the principles of Random Vector Functional Link ...