Deep Learning for COPD Analysis Using Lung Sounds

dc.contributor.author	ALLAHVERDİ, Novruz
dc.contributor.author	ALTAN, Gökhan
dc.contributor.author	KUTLU, Yakup
dc.date.accessioned	2019-07-10T08:12:01Z
dc.date.available	2019-07-10T08:12:01Z
dc.date.issued	2018-07
dc.identifier.uri	https://hdl.handle.net/20.500.12498/1026
dc.description.abstract	Deep Learning(DL) algotithms have become popular with the detailed analyzing capabilities with many hidden layers in recent years. The size of hidden layer in the classifier models is complately correlated with the analyzing capability of the proposed mode. Multiple hidden layers and neuron size in the hidden layers enhance the analyzing capability of the models,whereas increasing the training time.
dc.language.iso	en	en_US
dc.subject	Deep Learning	en_US
dc.subject	Deep Belief Networks	en_US
dc.subject	Hibert-Huang Transform	en_US
dc.title	Deep Learning for COPD Analysis Using Lung Sounds	en_US
dc.type	Konferans Bildirisi	en_US