Influence of kernel clustering on an RBFN

Influence of kernel clustering on an RBFN

Classical radial basis function network (RBFN) is widely used to process the non-linear separable data sets with the introduction of activation functions. However, the setting of parameters for activation functions is random and the distribution of patterns is not taken into account. To process this...

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Bibliographic Details
Main Authors: Changming Zhu, Duoqian Miao
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
radial basis function networks
pattern clustering
pattern classification
rbfn
classical radial basis function network
nonlinear separable data sets
activation functions
original kernel clustering
different kernel-clustering ways
multiple kernel-clustering criteria
feasible clustering results
bubble sort
escape nearest outlier
eno
pattern distribution
Online Access:https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0036

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https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0036

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