MA Zhao-rui, LI Na, GAN Cheng, et al. Identification of chaotic system with noise via dynamic threshold and stochastic gradient[J]. Journal of Light Industry, 2014, 29(6): 92-94,102. doi: 10.3969/j.issn.2095-476X.2014.06.020
Citation:
MA Zhao-rui, LI Na, GAN Cheng, et al. Identification of chaotic system with noise via dynamic threshold and stochastic gradient[J]. Journal of Light Industry, 2014, 29(6): 92-94,102.
doi:
10.3969/j.issn.2095-476X.2014.06.020
Identification of chaotic system with noise via dynamic threshold and stochastic gradient
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College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China;
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School of Electronic Information Engineering, Sias International University, Xinzheng 451150, China;
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School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China
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Received Date:
2014-09-04
Available Online:
2014-11-15
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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 better exactness.
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Proportional views
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