Identification of nonlinear dynamic systems using dynamic neural network (CROSBI ID 469702)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Majetić, Dubravko ; Crneković, Mladen ; Blažičević, Nenad
engleski
Identification of nonlinear dynamic systems 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.
identification; nonlinear dynamic system; dynamic neural network
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nije evidentirano
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nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
284-288-x.
1998.
objavljeno
Podaci o matičnoj publikaciji
Podaci o skupu
Intelligent Manufacturing, Automation & Networking
predavanje
22.10.1998-24.10.1998
Cluj-Napoca, Rumunjska