| 神经网络在缺陷识别中的应用 |
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| 引用本文： | 董剑龙,徐美芳.神经网络在缺陷识别中的应用[J].山西电子技术,2005(6):24-25,42. |
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| 作者姓名： | 董剑龙 徐美芳 |
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| 作者单位： | [1]中北大学分校教务处,山西太原030008 [2]中北大学现代无损检测技术中心,山西太原030051 |
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| 摘 要： | 为了准确、快速地进行缺陷识别，介绍了一种新型的前馈神经网络模型，即径向基概率神经网络。与以往的算法相比，该方法具有分类识别精度高且速度快的优点。仿真获得了很好的结果。
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| 关 键 词： | 主分量分析 径向基概率神经网络 自组织竞争神经网络 模式识别 |
| 收稿时间： | 2005-05-19 |
| 修稿时间： | 2005-05-19 |
Application of Neural Network to Flaw Recognition |
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| Dong Jianlong,Xu Meifang.Application of Neural Network to Flaw Recognition[J].Shanxi Electronic Technology,2005(6):24-25,42. |
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| Authors: | Dong Jianlong Xu Meifang |
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| Affiliation: | 1. Educational Administration Department, College Attached of North University of China, Taiyuan Shanxi 03008, China ; 2. Research Center for NDT , North University of China, Taiyuan Shanxi 030051, China |
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| Abstract: | A radial basis probabilistic neural network(RBPNN) is introduced which is a novel feed-forward neural network model.Compared with other algorithms,the method has the advantages of accurate and fast classification and recognition.The emulational result is also very good. |
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| Keywords: | PCA radial basis probabilistic neural networks self-organizing and competitive neural network pattern recognition |
| 本文献已被 CNKI 维普 等数据库收录！ |
