| 人工神经网络法校正ICP—AES中重叠光谱干扰 |
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| 引用本文： | 张卓勇,曾宪津.人工神经网络法校正ICP—AES中重叠光谱干扰[J].光谱学与光谱分析,1997,17(5):77-81. |
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| 作者姓名： | 张卓勇 曾宪津 |
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| 作者单位： | 东北师范大学化学系 |
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| 摘 要： | 本文将反向传播人工神经网络（ＢＰ－ＡＮＮ）用ＩＣＰ－ＡＥＳ中重叠光谱干扰的校正，利用模拟的Ｃｅ４１３．３８０ｎｍ和Ｐｒ４１３．３６１ｎｍ光谱对神经网络的训练方式，输入值范围，噪声影响等作了较详细的讨论。
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| 关 键 词： | 人工神经网络 光谱干扰校正 ICP AES |
Artificial neural network applied for spectral overlap interference correction in ICP-AES] |
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| Z Zhang,S Liu,X Zeng.Artificial neural network applied for spectral overlap interference correction in ICP-AES][J].Spectroscopy and Spectral Analysis,1997,17(5):77-81. |
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| Authors: | Z Zhang S Liu X Zeng |
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| Institution: | Department of Chemistry, Northeast Normal University, 130024 Changchun. |
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| Abstract: | A back-propagation artificial neural network (BP-ANN) has been applied to correcting spectral overlap interference in inductively coupled plasma atomic emission spectrometry (ICP-AES). Some network parameters including the range of input values and training sequence for training patterns presented to the network were discussed using simulated Ce 413.380nm and Pr 413.380nm line profiles. Results show that the noise in simulated mixture spectra will slow down the network convergence and has more influence on network prediction. |
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