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用分段训练的Elman递归神经网络滤除色谱数据中的噪声
Using Elman Recurrent Neural Network Trained in Sections to Filter Noise of Chromatographic Spectrogram
【摘要】 分析了色谱信号噪声的分形特征 ,采用分段训练的 Elman递归神经网络除噪 .实验结果表明 ,此方法在滤除噪声时具有一般神经网络和中值滤波器所没有的优点 ,精度明显提高
【Abstract】 In this paper, the noise of chromatographic signal has been analyzed by fractal geometry, and the Elman neural network trained in sections has been used to filter noise. The proposed method has obvious advantages over other neural networks and median filter in filtering noise, and the precision of results are much higher.
【关键词】 分形噪声;
Elman网络;
色谱信号滤波;
【Key words】 Factal noise; Elman network; Chromatographic signal filter;
【Key words】 Factal noise; Elman network; Chromatographic signal filter;
- 【文献出处】 高等学校化学学报 ,CHEMICAL RESEARCH IN CHINESE UNIVERSITIES , 编辑部邮箱 ,2000年02期
- 【分类号】O657.7
- 【被引频次】14
- 【下载频次】99