| 一种基于神经网络的曲线状况识别新方法 |
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| 引用本文： | 曾洋.一种基于神经网络的曲线状况识别新方法[J].重庆职业技术学院学报,2009,18(3):89-91. |
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| 作者姓名： | 曾洋 |
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| 作者单位： | 重庆电子工程职业学院,重庆,401331 |
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| 摘 要： | 本文基于最小二乘回归参数估计、均方差统计特性对动态数据流进行趋势分析，并对分析所得二次数据进行曲线特征提取，以完全表现曲线特性。最后，利用BP神经网络自适应机制、通过训练、学习，达到对曲线进行分类、识别、预测等目的。
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| 关 键 词： | BP神经网络 数据流 趋势分析 |
New Method of Curve Situation Identification Based on Neural Networks |
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| ZENG Yang.New Method of Curve Situation Identification Based on Neural Networks[J].Journal of Chongqing Vocational& Technical Institute,2009,18(3):89-91. |
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| Authors: | ZENG Yang |
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| Institution: | ZENG Yang(Chongqing College of Electronic Engineering,Chongqing 401331,China) |
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| Abstract: | This paper analyses the direction of dymatic data flow by both the methods least-squares regression parameter estimation,and mean square deviation statistical property.Furthermore,in order to completely represent features of the very curve,the secondary data have been go through the phase of feature extraction.Finally,having achieved the goals of curve classification,analysis,forecast and so on,the BP neural network adaptive mechanism has been used,by means of training and studying. |
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| Keywords: | BP neural network data stream trend analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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