Numerical analysis near singularities in RBF networks

• 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
• Institution: Nanyang Technological University

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...