Naslov
Identification of nonlinear dynamic system using dynamic neural network

Autori
Majetić, Dubravko ; Crneković, Mladen ; Blažičević, Nenad

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 9th International DAAAM Symposium "Intelligent Manufacturing, Automation & Networking" / Katalinić, Branko - Cluj - Napoca : DAAAM International Vienna, 1998, 287-288

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

Mjesto i datum
Cluj-Napoca, Rumunjska, 22.10.1998. - 24.10.1998

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
identification; nonlinear dynamic system; dynamic neural network

Sažetak
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

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo

POVEZANOST RADA