基于主成分分析的BP神经网络在形变预测中的应用
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摘要
为提高形变预测的精度,提出将主成分分析与改进的BP神经网络相结合用于形变监测数据处理。通过编程实现该算法,并用实测数据进行验证,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。
In order to improve deformation forecasting precision,application of principal component analysis and improved BP neural network in deformation monitoring is proposed.For the verification if the new method can enhance the precision and reliability of forecasted data,the proposed algorithm is programmed and verified by use of measured data.The results show that compared with other methods,the improved BP neural network based on principal component analysis can achieve better foresting results.
In order to improve deformation forecasting precision,application of principal component analysis and improved BP neural network in deformation monitoring is proposed.For the verification if the new method can enhance the precision and reliability of forecasted data,the proposed algorithm is programmed and verified by use of measured data.The results show that compared with other methods,the improved BP neural network based on principal component analysis can achieve better foresting results.
引文
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2潘国荣,谷川.变形监测数据的小波神经网络预测方法[J].大地测量与地球动力学,2007,27(4):47-50.2 Pan Guorong and Gu Chuan.Wavelet neural network predic-tion method of deformation monitoring data[J].Journal ofGeodesy and Geodynamics,2007,27(4):47-45.(in Chi-nese)
3飞思科技产品研发中心.MATLAB6.5辅助小波分析与应用[M].北京:电子工业出版社,2005.3 Study and Development Center of Fecit Science and Technol-ogy Product.Matlab6.5 assistance wavelet analyses and ap-plication[M].Beijing:Publishing House of Electronice In-dustry,2005.(in Chinese)
4郑治真,等.小波变换及其MATLAB工具的应用[M].北京:地震出版社,2001.4 Zheng Zhizhen,et al.Application of wavelet transform meth-od and MATLAB Tool[M].Beijing:Publishing House ofEarthquake,2001.(in Chinese)
5杨超,李志强.基于主成分-神经网络相集成的多策略评价赋权方法[J].当代财经,2005,7:124-128.5 Yang Chao and Li Zhiqiang.The more strategy estimatemethod based on the principal component-neutral networks[J].Contemporary Finance&Economics,2005,7:124-128.(in Chinese)
6飞思科技产品研发中心.神经网络理论与MATLAB7实现[M].北京:电子工业出版社,2005.6 Study and Development Center of Fecit Science and Technol-ogy Product.The implement of neutral networks theory andMatlab7[M].Beijing:Publishing House of Electronice In-dustry,2005.(in Chinese)
7林国玺,宣慧玉.遗传算法和BP人工神经网络在税收预测中的应用[J].系统工程理论方法应用,2005,4:145-148.7 Lin Guoxi and Xuan Huiyu.Application research on taxforecasting based on genetic algorithms and BP artificialneural networks[J].Systems Engineering-Theory Meth-odology Applications,2005,4:145-148.(in Chinese)
8陈桦,程云艳.BP神经网络算法的改进及在MATLAB中的实现[J].陕西科技大学学报,2004,4:45-47.8 Chen Hua and Cheng Yunyan.Design and realize the soft-ware of machining techniques manual[J].Journal of ShanxiUniversity of Science&Technology,2004,4:45-47.(inChinese)
9李杰,等.利用小波变换分析跨断层形变异常[J].大地测量与地球动力学,2004,24(3):73-78.9 Li Jie,et al.Analysis of anomaly of cross-fault deformationafter wavelet transform method[J].Journal of Geodesy andGeodynamics,2004,24(3):73-78.(in Chinese)
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