JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 29 Issue 6
November 2014
Article Contents
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 shu

Identification of chaotic system with noise via dynamic threshold and stochastic gradient

  • Received Date: 2014-09-04
    Available Online: 2014-11-15
  • 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.
  • 加载中
    1. [1]

      陈付华.小波在图像分析中的若干关键技术研究[D].南京:南京理工大学,2002:1-6.

    2. [2]

      李逊,谢红胜.基于遗传算法的小波神经网络[J].计算机与数字工程,2007,35(8):5.

    3. [3]

      张加云,张德江,李新胜.遗传小波神经网络在钢铁企业能耗预测中的应用[J].冶金自动化,2009,33(S1):849.

    4. [4]

      赵金宪,金鸿章.基于小波包和神经网络的瓦斯传感器故障诊断[J].传感器与微系统,2010,29(5):80.

    5. [5]

      赵劲松,李元,邱彤.一种基于小波变换与神经网络的传感器故障诊断方法[J].清华大学学报:自然科学版,2013,53(2):205.

    6. [6]

      Krishna B,Rao Y R,Nayak P C.Time series modeling of river flow using wavelet neural networks[J].Journal of Water Resource and Protection,2012,3(1):50.

    7. [7]

      董长虹.Matlab小波分析工具箱原理与应用[M].北京:国防工业出版社,2004:108-118.

    8. [8]

      Minu K K,Lineesh M C,Jessy J C.Wavelet neural networks for nonlinear time series analysis[J].Applied Mathematical Sciences,2011,4(2):2485.

Article Metrics

Article views(856) PDF downloads(22) Cited by()

Ralated
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return