| 基于模糊神经网络的间接测量建模方法研究 |
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| 引用本文： | 潘光斌,陈光.基于模糊神经网络的间接测量建模方法研究[J].计量学报,2006,27(2):187-189. |
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| 作者姓名： | 潘光斌 陈光 |
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| 作者单位： | 1. 电子科技大学自动化学院,四川,成都,610054;中国工程物理研究院计量测试中心,四川,绵阳,621900
2. 电子科技大学自动化学院,四川,成都,610054 |
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| 摘 要： | 在神经网络理论和模糊逻辑方法的基础上,将二者结合起来,讨论了一种基于模糊C均值聚类和径向基函数(RBF)的模糊神经网络,并将其应用于间接测量过程的非参量建模中。该方法尤其适用于非线性模型的构造,能够有效地提高测量的准确度和可靠性。
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| 关 键 词： | 计量学 间接测量 神经网络 径向基函数 C均值聚类 |
| 文章编号： | 1000-1158（2006）02-0187-03 |
| 收稿时间： | 2004-02-23 |
| 修稿时间： | 2004-04-07 |
Study of Indirect Measuring Model Based on Fuzzy Neural Network |
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| PAN Guang-bin,CHEN Guang-ju.Study of Indirect Measuring Model Based on Fuzzy Neural Network[J].Acta Metrologica Sinica,2006,27(2):187-189. |
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| Authors: | PAN Guang-bin CHEN Guang-ju |
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| Affiliation: | 1. College of Automatics, University of Electronic Science and Technology, Chengdu, Sichuan 610054, China ; 2. Metrology and Testing Center, China Academy of Engineering Physics, Mianyang, Sichuan 621900, China |
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| Abstract: | On the theoretical bases of neural network and fuzzy logic,a method utilizing fuzzy C mean cluster and RBF network is discussed,and an indirect measuring model is constructed in this way.This technique is suitable to the non-linear model very well and can improve measurement accuracy and reliability effectively. |
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| Keywords: | Metrology Indirect measuring Neural network RBF C mean cluster |
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