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Convergence Properties of an Online Learning Algorithm in Neural Network Models of Complex Systems
Репозитарій Національного Авіаційного Університету
View Archive Info| Field | Value | |
| Title |
Convergence Properties of an Online Learning Algorithm in Neural Network Models of Complex Systems
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| Creator |
V.N.Azarskov
L.S. Zhiteckii S. A. Nikolaienko |
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| Subject |
nonlinear model; neural network; gradient algorithm; learning; convergence
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| Description |
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
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| Date |
2017-05-26T11:08:38Z
2017-05-26T11:08:38Z 2013-10 |
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| Type |
Article
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| Identifier |
http://er.nau.edu.ua/handle/NAU/28359
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| Language |
en
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| Format |
application/pdf
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| Publisher |
ВД "Освіта України"
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