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Identification of nonlinear dynamic system using dynamic neural network (CROSBI ID 467183)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Majetić, Dubravko ; Crneković, Mladen ; Blažičević, Nenad Identification of nonlinear dynamic system using dynamic neural network // Proceedings of the 9th International DAAAM Symposium "Intelligent Manufacturing, Automation & Networking" / Katalinić, Branko (ur.). Cluj - Napoca: DAAAM International Vienna, 1998. str. 287-288

Podaci o odgovornosti

Majetić, Dubravko ; Crneković, Mladen ; Blažičević, Nenad

engleski

Identification of nonlinear dynamic system using dynamic neural network

An attempt has been made to establish a nonlinear dynamic discrete-time neuron model. This dynamic discrete-time neuron disposes of local memory, in that it has dynamic states. Based on such neuron, a Dynamic Multi Layer Perceptron Neural Network is proposed for the identification of a dynamic discrete-time nonlinear system. To accelerate the convergence of proposed extended dynamic error back propagation learning algorithm, the momentum method is applied. The learning results are presented in terms that are insensitive to the learning data range and allow easy comparison with other learning algorithms, independent of machine architecture or simulator implementation. Keywords: identification, nonlinear dynamic system, dynamic neural network

identification; nonlinear dynamic system; dynamic neural network

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Podaci o prilogu

287-288.

1998.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 9th International DAAAM Symposium "Intelligent Manufacturing, Automation & Networking"

Katalinić, Branko

Cluj - Napoca: DAAAM International Vienna

Podaci o skupu

International DAAAM Symposium "Intelligent Manufacturing, Automation & Networking" (9 ; 1998)

predavanje

22.10.1998-24.10.1998

Cluj-Napoca, Rumunjska

Povezanost rada

Strojarstvo