大地测量与地球动力学2017，Vol.37Issue(10)：1015-1019,5.DOI:10.14075/j.jgg.2017.10.005
Elman神经网络在区域速度场建模中的应用
Application of Elman Neural Network in Velocity of Local Area
摘要
Abstract
The parameter of Euler vector has poor validity in a local area.An algorithm based on Elman neural network is introduced to fit the velocity field.First,the velocity of the position is computed with the parameter of Euler vector;second,the residual as the expectation of Elman neural network is again trained;finally,we determine the velocity of the position,which is equal to the sum of the results obtained by Elman neural network and the velocity of Euler vector.The data set of Shandong is employed to test the algorithm.It is shown that the new algorithm can weaken the influence of systemic error and improve the accuracy of velocity field.关键词
Elman神经网络/速度场/NNR-NUVEL1A/欧拉矢量Key words
Elman neural network/velocity field/NNR-NUVEL1A/Euler vector分类
天文与地球科学引用本文复制引用
聂建亮,郭春喜,曾安敏,田婕,张海平,王斌,程传录..Elman神经网络在区域速度场建模中的应用[J].大地测量与地球动力学,2017,37(10):1015-1019,5.基金项目
National Natural Science Foundation of China,No.41574003,41774004,41474015,41604001 （）
Commonweal Research Project on Surveying and Geo-Informatics,No.201512004 （）
Special Project of Basic Work of Science and Technology,Ministry of Science and Technology,No.2015FY210400 （）
Open Fund of Key Laboratory for Modern Engineering Surveying,NASMG,No.TJES1504 （）
Open Fund of Key Laboratory of Geo-Informatics Engineering,NASMG.国家自然科学基金(41574003,41774004,41474015,41604001) （41574003,41774004,41474015,41604001）
测绘地理信息公益性行业科研专项(201512004) （201512004）
国家科技部科技基础性工作专项(2015FY210400) （2015FY210400）
现代工程测量国家测绘地理信息局重点实验室开放基金(TJES1504) （TJES1504）
地理空间信息工程国家测绘地理信息局重点实验室开放基金. （）
