Dynamic Neutral Network with Adaptive Neuron Activation Function (CROSBI ID 499208)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Majetić, Dubravko ; Brezak, Danko ; Novaković, Branko ; Kasać, Josip
engleski
Dynamic Neutral Network with Adaptive Neuron Activation Function
An attempt has been made to establish a nonlinear dynamic discrete-time neuron model, the so called Dynamic Elementary Processor (DEP). This dynamic neuron disposes of local memory, in that it has dynamic states. To accelerate the convergence of proposed extended dynamic error back propagation learning algorithm, the adaptive neuron activation function and momentum method are applied. Instead of most popular bipolar and unipolar Sigmoid neuron activation functions, the Gauss activation function with adaptive parameters is proposed. Based on the DEP neuron with adaptive activation function in hidden layer, a Dynamic Multi Layer Neural Network is proposed and tested in prediction of a Glass-Mackey time series.
dynamic neural network; adaptive neuron activation function; momentum; prediction; Glass-Mackey
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Podaci o prilogu
285-286.
2003.
objavljeno
Podaci o matičnoj publikaciji
Annals od DAAAM for 2003 & Preceedings of 14th International DAAAM Symposium Intelligent Manufacturing & Automatation : Focus on Recostruction and Development (ISSN 1726-9679)
Katalinic, Branko
Beč: DAAAM International Vienna
Podaci o skupu
International DAAAM symposium (14 ; 2003)
predavanje
22.10.2003-25.10.2003
Sarajevo, Bosna i Hercegovina