| 测量仪表特性线性化的神经网络方法 |
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| 引用本文： | 韩力群,苏维均,张晓力.测量仪表特性线性化的神经网络方法[J].北京工商大学学报(自然科学版),1998(3). |
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| 作者姓名： | 韩力群 苏维均 张晓力 |
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| 作者单位： | 北京轻工业学院自动化工程系!北京100037 |
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| 摘 要： | 提出一种用BP神经网络实现的测量仪表的通用线性化方法．这种线性化方法不需要依赖仪表特性的数学模型，也不需要研制专用线路．只要网络结构合理，通过训练可达到较高的精度．
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| 关 键 词： | 神经网络 测量仪表 线性化 |
APPLICATION OF NEURAL NETWORK IN THE LINEARIZATION OF INSTRUMENTATION |
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| Han Liqun, Su Weijun, Zhang Xiaoli.APPLICATION OF NEURAL NETWORK IN THE LINEARIZATION OF INSTRUMENTATION[J].Journal of Beijing Technology and Business University:Natural Science Edition,1998(3). |
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| Authors: | Han Liqun Su Weijun Zhang Xiaoli |
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| Abstract: | This paper gives a general approach to the lineariration of measuring instrumentation, which depends on BP algorithm based Neural Network. The BP linearizing network does not need to design special electric circuits or programs. So long as the structure of the network and the learning algorithm are reasonable, high accuracy can be attained through training. |
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| Keywords: | Neural Network measurement instrumentation linearization |
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