ElAr :: Перегляд за автором "Deineko, A. O."

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Evolving flexible neuro-fuzzy system for medical diagnostic tasks
(IJCSMC, 2015) Turuta, O.; Perova, I.; Deineko, A. O.
In the paper architecture and training method for evolving flexible diagnostic neuro-fuzzy-system are investigated. The proposed system is simple in numeric realization and characterized by a high learning rate and flexibility, that make possible to use it in conditions of small training sets and on big data sets, coming to processing in online-mode.
Evolving Neural Network for Kernel Principal Component Analysis
(IJCSMC, 2015) Turuta, O.; Deineko, A. O.; Perova, I.; Kutsenko, Y.; Shalamov, M.
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.