Evolving Neural Network for Kernel Principal Component Analysis
Електронного архіву Харківського національного університету радіоелектроніки (Open Access Repository of KHNURE)
Переглянути архів Інформація| Поле | Співвідношення | |
| Title |
Evolving Neural Network for Kernel Principal Component Analysis
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| Creator |
Turuta, O.
Deineko, A. O. Perova, I. Kutsenko, Y. Shalamov, M. |
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| Subject |
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) |
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| Description |
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.
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| Date |
2018-09-17T08:16:16Z
2018-09-17T08:16:16Z 2015 |
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| Type |
Article
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| Identifier |
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.
http://openarchive.nure.ua/handle/document/6902 |
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| Language |
en
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| Publisher |
IJCSMC
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