Variable weight neural networks and their applications on material surface and epilepsy seizure phase classifications

Variable weight neural networks and their applications on material surface and epilepsy seizure phase classifications

This paper presents a novel neural network having variable weights, which is able to improve its learning and generalization capabilities, to deal with classification problems. The variable weight neural network (VWNN) allows its weights to be changed in operation according to the characteristic of...

Full description

Bibliographic Details
Main Authors: Lam, H.K., Ekong, U., Xiao, B., Ouyang, G., Liu, H., Chan, Kit Yan, Ling, S.
Format: Journal Article
Published: Elsevier BV 2015
Subjects:
Bayesian decision
Neural networks
Variable-weight neural networks
Material recognition
KNN
Epilepsy signals
Online Access:http://hdl.handle.net/20.500.11937/38754

Internet

http://hdl.handle.net/20.500.11937/38754

Similar Items