| 改进的人工神经网络在传感器阵列信号处理中的应用 |
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| 引用本文： | 蔡煜东,杜建斌,吴伟,张国雄.改进的人工神经网络在传感器阵列信号处理中的应用[J].分析测试技术与仪器,1994(1):48-52. |
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| 作者姓名： | 蔡煜东 杜建斌 吴伟 张国雄 |
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| 作者单位： | 中国科学院上海冶金研究所 |
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| 基金项目： | 中国科学院上海分院择优基金 |
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| 摘 要： | 本文提出传感器阵列信号处理的人工神经网络模型，以Cu^ 2/Ca^ 2系统为研究对象．尝试了神经网络方法的效果。其最大相对误差不超过5．％，最大相对预测误差不超过2．4％，结果表明，该方法性能良好，在各种传感器阵列的信号处理方面有广泛的应用前景。
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| 关 键 词： | 人工神经网络 传感器阵列 信号处理 改进反向传播模型 |
| 收稿时间： | 1993/12/1 0:00:00 |
| 修稿时间： | 1994/1/15 0:00:00 |
Application of an Improved Neural Network on Processing Signals from Ion-Selective Electrode Array |
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| Cai Yudong,De Jianbin,Wu Wei and Zhang Guoxiong.Application of an Improved Neural Network on Processing Signals from Ion-Selective Electrode Array[J].Analysis and Testing Technology and Instruments,1994(1):48-52. |
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| Authors: | Cai Yudong De Jianbin Wu Wei and Zhang Guoxiong |
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| Institution: | Shanghai Institute of metallurgy, Chinese Academy of Sciences, Shanghai 200050;Shanghai Institute of metallurgy, Chinese Academy of Sciences, Shanghai 200050;Shanghai Institute of metallurgy, Chinese Academy of Sciences, Shanghai 200050;Shanghai Institute of metallurgy, Chinese Academy of Sciences, Shanghai 200050 |
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| Abstract: | The artificial neural network model for processing signals form ion-selective electrodes array is presented in the paper. the performance of the neural network approach was tested in the simultaneous determination of Cu2+/Ca2+ system. Its maxmium relative fitting error doesn't exceed 5.5% and maxmium predicting relative error doesn't exceed 2.4%. The results showed that the improved network is good therefore it might be used widely in processing signals from variuns ion selective electrode arrays. |
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| Keywords: | Ion-selective electrode array signal processing artificial neural network back- propagation model |
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