Comparison of Prototype Selection Algorithms Used in Construction of Neural Networks Learned by SVD

Comparison of Prototype Selection Algorithms Used in Construction of Neural Networks Learned by SVD

Radial basis function networks (RBFNs) or extreme learning machines (ELMs) can be seen as linear combinations of kernel functions (hidden neurons). Kernels can be constructed in random processes like in ELMs, or the positions of kernels can be initialized by a random subset of training vectors, or k...

Full description

Bibliographic Details
Main Author: Jankowski Norbert
Format: Article
Language:English
Published: Sciendo 2018-12-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
radial basis function network
extreme learning machines
kernel methods
prototypes
prototype selection
machine learning
k nearest neighbours
Online Access:https://doi.org/10.2478/amcs-2018-0055

Internet

https://doi.org/10.2478/amcs-2018-0055

Similar Items