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| 引用本文： | 彭祥国,万先斌,王海龙.????????????????澫???о?[J].大地测量与地球动力学,2013,33(1):150-152. |
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| 作者姓名： | 彭祥国 万先斌 王海龙 |
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| 作者单位： | 江西省水利规划设计院,南昌,330029 |
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| 摘 要： | ???????????????????BP?????緽????????????????????棬?????????????????????????????Ч???????????????????????????????????????????????????????????????????????????????????仯???????????????????????????y?????ж???????????п?????θ?????????￡?PSO-BP??????????????÷???????Ч????
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| 关 键 词： | ????? GPS ???????? PSO BP?????? |
RESEARCH ON REFINEMENT OF REGIONAL QUASI-GEOID OF POYANG LAKE |
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| Peng Xiangguo,Wan Xianbin and Wang Hailong.RESEARCH ON REFINEMENT OF REGIONAL QUASI-GEOID OF POYANG LAKE[J].Journal of Geodesy and Geodynamics,2013,33(1):150-152. |
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| Authors: | Peng Xiangguo Wan Xianbin and Wang Hailong |
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| Institution: | (Jiangxi Provincial Water Conservancy Planning and Designing Institute,Nanchang 330029) |
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| Abstract: | This paper proposes the BP neural network method which is based on particle swarm optimization algorithm to refine the regional quasi geoid, it by selecting the neural network weights and thresholds reasonably can effectively avoid the defect that the network slow convergence and easily trapped into the local optimal. This method is verified through the data of Poyang Lake and the results show that PSO BP neural network model can still obtain a good effect in the compared with the two surface partition fitting method absence of considering terrain conditions, which is selected according to the height anomaly variation. |
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| Keywords: | Poyang lake GPS quasi geoid PSO(Particle Swarn Oplimization) BP neural network |
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