Numerical analysis near singularities in RBF networks

Numerical analysis near singularities in RBF networks

The existence of singularities often affects the learning dynamics in feedforward neural networks. In this paper, based on theoretical analysis results, we numerically analyze the learning dynamics of radial basis function (RBF) networks near singularities to understand to what extent singularities...

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Bibliographic Details
Main Authors: Guo, Weili, Ong, Yew-Soon, Hervas, Jaime Rubio, Zhao, Junsheng, Zhang, Kanjian, Wang, Hai, Wei, Haikun
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2018
Subjects:
DRNTU::Engineering::Computer science and engineering
RBF Networks
Singularity
Online Access:https://hdl.handle.net/10356/89770
http://hdl.handle.net/10220/46400
http://www.jmlr.org/papers/volume19/16-210/16-210.pdf
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/89770
http://hdl.handle.net/10220/46400
http://www.jmlr.org/papers/volume19/16-210/16-210.pdf

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