title: Neural networks for identification of nonlinear systems under random piecewise polynomial disturbances.
abstract: 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 disturbed with unmeasurable noise are considered, although it is known that the disturbance is a random piecewise polynomial process. Absorption polynomials and nonquadratic loss functions are used to reduce the effect of this disturbance on the estimates of the optimal memory of the neural-network model.
authors.affiliation: Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia.
authors.forename: Y Z
authors.initials: YZ
authors.lastname: Tsypkin
authors.forename: J D
authors.initials: JD
authors.lastname: Mason
authors.forename: E D
authors.initials: ED
authors.lastname: Avedyan
authors.forename: K
authors.initials: K
authors.lastname: Warwick
authors.forename: I K
authors.initials: IK
authors.lastname: Levin