Weighting and pruning based ensemble deep random vector functional link network for tabular data classification

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification

In this paper, we first integrate normalization to the Ensemble Deep Random Vector Functional Link network (edRVFL). This re-normalization step can help the network avoid divergence of the hidden features. Then, we propose novel variants of the edRVFL network. Weighted edRVFL (WedRVFL) uses weightin...

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Bibliographic Details
Main Authors: Shi, Qiushi, Hu, Minghui, Suganthan, Ponnuthurai Nagaratnam, Katuwal, Rakesh
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
Weighting Methods
Pruning
Online Access:https://hdl.handle.net/10356/164112

Internet

https://hdl.handle.net/10356/164112

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