Bidimensionally partitioned online sequential broad learning system for large-scale data stream modeling

Bidimensionally partitioned online sequential broad learning system for large-scale data stream modeling

Abstract Incremental broad learning system (IBLS) is an effective and efficient incremental learning method based on broad learning paradigm. Owing to its streamlined network architecture and flexible dynamic update scheme, IBLS can achieve rapid incremental reconstruction on the basis of the previo...

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Bibliographic Details
Main Authors: Wei Guo, Jianjiang Yu, Caigen Zhou, Xiaofeng Yuan, Zhanxiu Wang
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Broad learning system
Online sequential learning
Big data modeling
Matrix partitioning
Partitioned recursive least squares
Online Access:https://doi.org/10.1038/s41598-024-83563-5
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https://doi.org/10.1038/s41598-024-83563-5

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