| 基于主成分分析的BP神经网络模型的形变预测方法 |
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| 引用本文： | 陈春花,陈兴权,朱超.基于主成分分析的BP神经网络模型的形变预测方法[J].海洋测绘,2010,30(1):47-49. |
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| 作者姓名： | 陈春花 陈兴权 朱超 |
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| 作者单位： | 东南大学,交通学院,江苏,南京,210096 |
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| 摘 要： | 主成分分析可以提取形变主要信息，BP神经网络具有很强的预测功能，提出将两者相结合用于形变监测数据处理。通过MATLAB编程实现了该算法，并用实测数据进行验证，证明此方法能够提高预测数据的精度和可靠性。结果表明：与其他方法相比，基于主成分分析的改进BP神经网络能取得更好的预测效果。
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| 关 键 词： | 形变预测 主成分分析 BP神经网络 |
Application of BP Neural Network Based on Principal Component Analysis in Deformation Forecasting |
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| CHEN Chun-hu,CHEN Xing-quan,ZHU Chao.Application of BP Neural Network Based on Principal Component Analysis in Deformation Forecasting[J].Hydrographic Surveying and Charting,2010,30(1):47-49. |
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| Authors: | CHEN Chun-hu CHEN Xing-quan ZHU Chao |
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| Institution: | Transportation College of Southeast University;Nanjing;Jiangsu;210096 |
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| Abstract: | Based on the extracting main deformation information function of principal component analysis and forecasting function of BP neural network,a new method combined principal component analysis and improved BP neural network which can be used to process deformation monitoring data is proposed.In order to verify that this method can improve the precision and reliability of forecasted data,this algorithm was realized through MATLAB programming.The results from a practical example show that the improved BP neural... |
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| Keywords: | deformation forecasting principal component analysis BP neural network |
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