Pregled bibliografske jedinice broj: 26172
Identification of nonlinear dynamic systems using dynamic neural network
Identification of nonlinear dynamic systems using dynamic neural network // 9th DAAAM International Symposium, Vol. 2 / Katalinić, Branko (ur.).
Beč: DAAAM International Vienna, 1998. str. 284-288 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 26172 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Identification of nonlinear dynamic systems 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
9th DAAAM International Symposium, Vol. 2
/ Katalinić, Branko - Beč : DAAAM International Vienna, 1998, 284-288
Skup
Intelligent Manufacturing, Automation & Networking
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.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
