Two-Layer Neural Network for Identification of Nonlinear Plants Under Highly Correlated Non-Gaussian Disturbances

Autor:	É. D. Aved'Yan, Ya.Z. Tsypkin, I.K. Levin
Rok vydání:	1998
Předmět:	Nonlinear system symbols.namesake Identification (information) Disturbance (geology) Artificial neural network Control theory Computer science Gaussian symbols Process (computing) Two layer
Zdroj:	IFAC Proceedings Volumes. 31:929-932
ISSN:	1474-6670
Popis:	The problem of identification of a nonlinear dynamic system is considered. A two-layer neural network is used for the solution of the problem. Systems affected by nonmeasurable disturbance are considered. It is known that the disturbance is a random highly correlated non-gaussian process. Dynamic transfonnation and nonquadratic loss functions of discrepancy are used to reduce the effect of this disturbance on the estimates of the optimal memory of a neural network model.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fcaed1a35eecde25f25a042f5a7b47c4 https://doi.org/10.1016/s1474-6670(17)41916-1 Zobrazit plný text záznamu