Evolving Neural Network for Kernel Principal Component Analysis

Публікація:
Evolving Neural Network for Kernel Principal Component Analysis

dc.contributor.author	Turuta, O.
dc.contributor.author	Deineko, A. O.
dc.contributor.author	Perova, I.
dc.contributor.author	Kutsenko, Y.
dc.contributor.author	Shalamov, M.
dc.date.accessioned	2018-09-17T08:16:16Z
dc.date.available	2018-09-17T08:16:16Z
dc.date.issued	2015
dc.description.abstract	In the paper kernel evolving neural network and its learning algorithm are investigated. The proposed system solves the problem of finding the eigenvectors and the corresponding principal components in on-line mode in an environment where hidden in the experimental data interdependencies are nonlinear and can change throw time.	uk_UA
dc.identifier.citation	Turuna O. Evolving Neural Network for Kernel Principal Component Analysis / O. Turuta, A. Deineko, I. Perova , Y. Kutsenko M. Shalamov // International Journal of Computer Science and Mobile Computing IJCSMC. -2015. -Vol.4. Issue 9. -P. 356-363.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/6902
dc.language.iso	en	uk_UA
dc.publisher	IJCSMC	uk_UA
dc.subject	Principal component analysis (PCA)	uk_UA
dc.subject	Dynamic Data Mining	uk_UA
dc.subject	Data Stream Mining	uk_UA
dc.subject	radial-basis neural networks (RBFN)	uk_UA
dc.subject	kernel evolving neural network	uk_UA
dc.subject	dynamic data mining (DDM)	uk_UA
dc.subject	data streams mining (DSM)	uk_UA
dc.title	Evolving Neural Network for Kernel Principal Component Analysis	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication