| 基于神经网络的微芯片电泳信号分析 |
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| 引用本文： | 章刚华,周兆英,熊沈蜀,汤扬华,罗国安,颜流水. 基于神经网络的微芯片电泳信号分析[J]. 分析化学, 2003, 31(7): 816-819 |
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| 作者姓名： | 章刚华 周兆英 熊沈蜀 汤扬华 罗国安 颜流水 |
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| 作者单位： | 1. 清华大学精密仪器系,北京,100084
2. 清华大学分析中心,北京,100084 |
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| 基金项目： | 国家自然科学基金 (No .2 983 3 0 70 )，973国家重点基础研究发展规划 (G199990 3 3 10 6)资助项目 |
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| 摘 要： | 神经网络具有自学习、自组织、自适应的能力。应用神经网络将高斯函数对电泳分离曲线峰形进行拟合，提取微芯片电泳信号的特征，通过分析结果，对微芯片电泳实验的分离条件作出指导。
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| 关 键 词： | 神经网络 微芯片电泳信号分析 峰形拟合 特征提取 毛细管电泳技术 |
Application of Neural Network for Analyzing the Signal of Electrophoresis on Microchip |
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| Zhang Ganghua ,Zhou Zhaoying,Xiong Shenshu,Tang Yanghua,Luo Guoan,Yan Liushui. Application of Neural Network for Analyzing the Signal of Electrophoresis on Microchip[J]. Chinese Journal of Analytical Chemistry, 2003, 31(7): 816-819 |
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| Authors: | Zhang Ganghua Zhou Zhaoying Xiong Shenshu Tang Yanghua Luo Guoan Yan Liushui |
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| Affiliation: | Zhang Ganghua 1,Zhou Zhaoying1,Xiong Shenshu1,Tang Yanghua1,Luo Guoan2,Yan Liushui2 |
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| Abstract: | Neural network has the properties of self-learning, self-organizing and self-adapting. In this article, it is applied to the fitting of Gaussian function with the curve given by the experiments. In this way, the characters of electrophoresis are acquired. The results can guide the selection of experiment condition. |
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| Keywords: | Electrophoresis on microchip neural network curve fitting character extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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