【作者】 向小东；

【Author】 XIANG Xiao-dong(Management school,Fuzhou University,Fuzhou 350002 ,China)

【机构】 福州大学管理学院；

【摘要】 由于现有的混沌吸引子识别方法对噪声敏感,研究带噪声的时间序列的混沌识别方法就显得特别重要。本文给出了一种新的基于径向基函数网络的混沌吸引子寻找方法。实例表明此方法对即使少量的、噪声较大的时间序列也有较好的效果,是一种很实用的方法,有着广阔的应用前景。更多还原

【Abstract】 Because the existing methods are sensitive to noise in identifying chaotic attractor,it is very important to research the method of identifying chaotic time series which is corrupted by noise。This paper puts forward a new looking for chaotic attractor method based on radial basis function networks. The example shows the method is available to short time series corrupted by lots of noise, so it is a utilitarian method and has extensive applied prospect.更多还原