Please use this identifier to cite or link to this item:
https://er.nau.edu.ua/handle/NAU/28359| Title: | Convergence Properties of an Online Learning Algorithm in Neural Network Models of Complex Systems |
| Authors: | V.N.Azarskov L.S. Zhiteckii S. A. Nikolaienko |
| Keywords: | nonlinear model; neural network; gradient algorithm; learning; convergence |
| Issue Date: | Oct-2013 |
| Publisher: | ВД "Освіта України" |
| Abstract: | Asymptotic behavior of the online gradient algorithm with a constant step size employed for learning in neural network models of nonlinear systems having hidden layer are studied. The sufficient conditions guaranteeing the convergence of this algorithm in the random environment are established |
| URI: | http://er.nau.edu.ua/handle/NAU/28359 |
| Appears in Collections: | Матеріали конференцій кафедри аерокосмічних систем управління |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Azarskov_IEEE 2013 .pdf | 6.32 MB | Adobe PDF | View/Open |
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