Публікація: Evolving Neural Network for Kernel Principal Component Analysis
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Дата
2015
Назва журналу
ISSN журналу
Назва тома
Видавництво
IJCSMC
Анотація
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.
Опис
Ключові слова
Principal component analysis (PCA), Dynamic Data Mining, Data Stream Mining, radial-basis neural networks (RBFN), kernel evolving neural network, dynamic data mining (DDM), data streams mining (DSM)
Бібліографічний опис
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.