Identification of chaotic system with noise via dynamic threshold and stochastic gradient
MA Zhao-rui
LI Na
GAN Cheng
LI Xia
ZHU Xun-lin
Abstract：In order to improve identification exactness of chaotic system with noise,a new identification method based on wavelet neural network was presented,which was integrated with dynamic threshold and stochastic gradient.The method made dynamic threshold to affect wavelet coefficients,the train process was closely integrated with neural network and the threshold was dynamically and inversely modified based on error function and stochastic gradient,so the error was increasingly shrinking and approaching to the ideal output.The result showed that the method could reduce the noise of chaotic system and finally acquire bet-ter exactness.
Keywords：chaotic systemdynamic thresholdstochastic gradientwavelet neural network
Publication Date：2014-11-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 92-94,102 )