作者：王建国, 闫海鹏, 张文兴, 张鑫礼

作者单位：内蒙古科技大学机械工程学院, 内蒙古 包头 014010

关键词：数据降噪;改进PCNN模型;阈值函数;点火时间矩阵

摘要：

为去除数据中存在的噪声点,提高数据质量,提出一种基于改进PCNN的数据降噪方法。该方法在无耦合链接的简化PCNN模型基础上,改进阈值函数,添加记录神经元是否点火的矩阵以及点火时间矩阵,根据神经元初次点火时间辨识并去除噪声点,从而实现数据降噪。实验测试结果表明:该算法能够有效滤除数据中的噪声点,很好地保持原始数据的特征。

Data noise reduction method based on modified PCNN

WANG Jianguo, YAN Haipeng, ZHANG Wenxing, ZHANG Xinli

School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China

Abstract: To remove the noise points in the data and improve the quality of data, a data noise reduction method based on modified PCNN is presented. In this algorithm, threshold function has been improved and a matrix which can show recorded neurons firing or not and a matrix of ignition time are added, based on the simplified PCNN model of non coupling linking. The noise points are identified and removed by the first ignition time of neurons. Thus the data noise reduction is achieved via the method. The experimental results show that the algorithm can effectively filter out the noise points in the data, and remain the characteristics of the original data.

Keywords: data noise reduction;modified PCNN model;threshold function;ignition time matrix

2016, 42(1): 92-95  收稿日期: 2015-04-15;收到修改稿日期: 2015-06-09

基金项目: 国家自然科学基金(21366017);内蒙古教育厅自然科学一般项目(NJZY13144);内蒙古自治区研究生科研创新资助项目(S20141012711)

作者简介: 王建国(1958-),男,内蒙古呼和浩特市人,教授,博士,研究方向为机电系统智能诊断与复杂工业工程建模、优化。

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