| ??????????????BP?????????α?????е???? |
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| 引用本文： | 陈兴权,王解先,谷川.??????????????BP?????????α?????е????[J].大地测量与地球动力学,2008,28(3):72-76. |
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| 作者姓名： | 陈兴权 王解先 谷川 |
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| 作者单位： | 1. 同济大学测量与国土信息工程系,上海,200092
2. 同济大学测量与国土信息工程系,上海,200092;现代工程测量国家测绘局重点实验室,上海,200092 |
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| 摘 要： | ?????α????????????????????????????BP???????????????α??????????????????????????????????????????????????????????????????????????????????BP??????????????????Ч????
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| 关 键 词： | ?α? ???????? ?????? ??? ?α??? |
| 文章编号： | 1671-5942(2008)03-0072-05 |
| 修稿时间： | 2007年12月25 |
APPLICATION OF BP NEURAL NETWORK BASED ON PRINCIPAL COMPONENT ANALYSIS IN DEFORMATION FORECASTING |
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| Chen Xingquan,Wang Jiexian,Gu Chuan.APPLICATION OF BP NEURAL NETWORK BASED ON PRINCIPAL COMPONENT ANALYSIS IN DEFORMATION FORECASTING[J].Journal of Geodesy and Geodynamics,2008,28(3):72-76. |
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| Authors: | Chen Xingquan Wang Jiexian Gu Chuan |
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| Institution: | 1)Department of Surveying and Geo-Informatics,Tongji University, Shanghai 2000922)Key Laboratory of Modern Engineering Surveying of SBSM, Shanghai 200092 |
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| Abstract: | 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. |
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| Keywords: | deformation principal component analysis neural network forecasting deformation monitoring |
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