| 用二次判据神经元实现的神经滤波器 |
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| 引用本文： | 赵学云,成本茂,赵学玲. 用二次判据神经元实现的神经滤波器[J]. 系统工程与电子技术, 2002, 24(2): 12-14 |
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| 作者姓名： | 赵学云 成本茂 赵学玲 |
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| 作者单位： | 1. 海军航空工程学院青岛分院,山帆,青岛,266041
2. 烟台市招远泉山学校,山东,烟台,265400 |
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| 摘 要： | 基于神经网络理论及滤波理论提出了一种新型神经滤波器———广义自适应神经滤波器 (GANF)。GANF是用神经运算器代替级叠滤波器中的布尔运算器后得到的一类非线性自适应神经滤波器。讨论了其结构与特性 ,证明了最优GANF的平均绝对误差 (MAE)上限即为最优级叠滤波器的MAE。同时 ,通过计算机仿真实验 ,验证了GANF在非高斯噪声抑制方面的优越性
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| 关 键 词： | 神经网络 神经元 级叠滤波器 阈值分解 |
| 文章编号： | 1001-506X(2002)02-0012-03 |
| 修稿时间： | 2000-11-25 |
Neural Filter Implemented by an Artificial Neuron With Quadratic Criterion Function |
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| ZHAO Xue yun+,CHENG Ben mao+,ZHAO Xue ling+. Neural Filter Implemented by an Artificial Neuron With Quadratic Criterion Function[J]. System Engineering and Electronics, 2002, 24(2): 12-14 |
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| Authors: | ZHAO Xue yun+ CHENG Ben mao+ ZHAO Xue ling+ |
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| Affiliation: | ZHAO Xue yun+1,CHENG Ben mao+1,ZHAO Xue ling+2 |
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| Abstract: | On the basis of neural network theory and filter theory this paper presents a new neural filter-generalized adaptive neural filter(GANF).GANF is a class of nonlinear adaptive filter achieved by replacing the Boolean function operator with a neural operator. The paper discusses its structure and properties and proves that the upper bound of the mean absolute error(MAE)of the optimal GANF is the MAE of optimal stack filter. Moreover it verifies the superioriy of GANF in Gaussian noise suppression. |
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| Keywords: | Neural network Neuron Stack filter Threshold decomposition |
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