| BP神经网络在谐波测量中的应用研究 |
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| 引用本文： | 郭世才.BP神经网络在谐波测量中的应用研究[J].中国测试技术,2005,31(6):38-40. |
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| 作者姓名： | 郭世才 |
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| 作者单位： | 南昌大学信息工程学院,江西,南昌,330029 |
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| 摘 要： | 本文主要介绍了一种基于BP神经网络的谐波测量方法。与传统的谐波测量方法相比，其在实时性及精确度上有了很大的改善。文章重点介绍了BP神经网络结构和学习训练原理，并且针对传统BP训练算法学习速度较慢的缺点，提出了一种能够加快训练速度的新方法。实验结果表明，在谐波测量电路里采用新方法训练好的BP神经网络是可行的。
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| 关 键 词： | 谐波测量 BP神经网络 训练 |
| 文章编号： | 1672-4984(2005)06-0038-03 |
| 收稿时间： | 2005-01-20 |
| 修稿时间： | 2005-03-16 |
Study of the application of BP neural networks in harmonic measurement |
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| GUO Shi-cai.Study of the application of BP neural networks in harmonic measurement[J].China Measurement Technology,2005,31(6):38-40. |
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| Authors: | GUO Shi-cai |
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| Affiliation: | School of Information Engineering, Nanchang University, Nanchang 330029, China |
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| Abstract: | This paper introduces a new harmonic measurement method,which is based on BP neural networks.Comparing with the traditional harmonic measurement method, this new method can enhance efficiency of real time and accuracy. A new arithmetic, which can improve the training speed of BP neural networks is presented in the article.Simulation result shows that this new harmonic measurement method is available. |
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| Keywords: | Harmonic measurement BP neural networks Training |
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