An <inline-formula> <tex-math notation="LaTeX">$\ell_0$ </tex-math></inline-formula>-Norm-Based Centers Selection for Failure Tolerant RBF Networks

An <inline-formula> <tex-math notation="LaTeX">$\ell_0$ </tex-math></inline-formula>-Norm-Based Centers Selection for Failure Tolerant RBF Networks

There are two important issues in the construction of a radial basis function (RBF) neural network. The first one is to select suitable RBF centers. The second one is that the resultant RBF network should be with good fault tolerance. This paper proposes an algorithm that is able to select RBF cente...

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Bibliographic Details
Main Authors: Hao Wang, Zhanglei Shi, Hiu Tung Wong, Chi-Sing Leung, Hing Cheung So, Ruibin Feng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Failure tolerant
RBF
center selection
ADMM
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global convergence
Online Access:https://ieeexplore.ieee.org/document/8861052/

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https://ieeexplore.ieee.org/document/8861052/

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