Inverse-Free Incremental Learning Algorithms With Reduced Complexity for Regularized Extreme Learning Machine

Inverse-Free Incremental Learning Algorithms With Reduced Complexity for Regularized Extreme Learning Machine

The existing inverse-free incremental learning algorithm for the regularized extreme learning machine (ELM) was based on an inverse-free algorithm to update the regularized pseudo-inverse, which was deduced from an inverse-free recursive algorithm to update the inverse of a Hermitian matrix. Before...

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Bibliographic Details
Main Authors: Hufei Zhu, Yanpeng Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Extreme learning machine (ELM)
recursive algorithms
inverse-free
inverse LDLT factorization
regularized pseudo-inverse
incremental learning
Online Access:https://ieeexplore.ieee.org/document/9187216/

Internet

https://ieeexplore.ieee.org/document/9187216/

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