| 基于神经网络的混沌时序数据失真检测方法研究 |
| |
| 引用本文： | 王兴家,汪晓惠,赵超.基于神经网络的混沌时序数据失真检测方法研究[J].重庆交通大学学报(自然科学版),2007,26(6):162-165. |
| |
| 作者姓名： | 王兴家 汪晓惠 赵超 |
| |
| 作者单位： | 重庆交通大学,交通运输学院,重庆,400074;中国石油天燃气第七建设公司,山东,青岛,266300 |
| |
| 摘 要： | 介绍了时序数据的混沌识别方法,并根据混沌时序数据的可预测性,提出了一种基于神经网络的混沌时序数据失真检测方法.通过实例证明该方法能准确地检测出混沌时序数据的失真点,并将其还原.该方法既是检测过程同时也是修复的过程,在数据处理领域有一定的应用前景.
|
| 关 键 词： | 神经网络 检测 混沌 |
| 文章编号： | 1674-0696(2007)06-0162-04 |
| 修稿时间： | 2006年9月13日 |
Study on Distortion Detective Method for Chaotic Time Series Based on Neural Network |
| |
| WANG Xing-jia,WANG Xiao-hui,ZHAO Chao.Study on Distortion Detective Method for Chaotic Time Series Based on Neural Network[J].Journal of Chongqing Jiaotong University,2007,26(6):162-165. |
| |
| Authors: | WANG Xing-jia WANG Xiao-hui ZHAO Chao |
| |
| Abstract: | The method of chaos identifying for time series is introduced. By virtue of the predictability of chaotic time series,the distortion detective method for chaotic time series based on neural network is presented.The practical example demonstrate that the distortion data of chaotic time series can be detected and recovered correctly by this kind of method.The method is not only a detective process but also a recovering process,and the application prospect in the field of data processing is optimistic. |
| |
| Keywords: | neural network detection chaos |
| 本文献已被 万方数据 等数据库收录！ |
|
