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Research on the Models of GPS Height Fitting Based on BP Neural Network and Their Applications
Author: TanLiPing
Tutor: MaHongBin
School: Northeastern University
Course: Geodesy and Survey Engineering
Keywords: GPS level height anomaly numerical approximations method back propagation neural networks fitting models
CLC: P228.4
Type: Master's thesis
Year: 2009
Downloads: 29
Quote: 0
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Abstract
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The key problem of the transformation between geodetic height and normal height is GPS height fitting. Based on the analysis of the present research status at home and abroad, the paper aims at the research and application on the models of GPS Height Fitting on the base of neural network, proposes the method of GPS Height Fitting based on BP neural network. The main contents of the paper as follows:1)This paper proposes the correlative problems of GPS leveling, introducing GPS height fitting, numerical approximations, and the reaserch of GPS height fitting on the base of BP neural network.2) The basic theory of neural network and algorithm of BP is described in the paper. Many improvement steps existed in the algorithm of BP are put, and build a speculation model which match to GPS height fitting based on BP neural network.3) The experiments analyze the fault tolerance and generalization of BP model, comparing advantages and disadvantages between neural network and surface fitting.The results show that:1)The model of GPS height fitting based on BP neural network has a wide scope of application in Plains and coastal areas. The model has a better fitting effect than surface fitting, but it’s instability. Numerical approximations has worse fitting effect in mountain area, which fsils to meet production requirement.2) The combination of quadratic surface fitting and BP neural network has effective results in mountain area.The results show that the combination model has more significantly precision than any single model. The research has reference value for the GPS height fitting in mountain area, which provides the reference opinions for precise determination of mountain geoid.
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CLC: > Astronomy,Earth Sciences > Surveying and Mapping > Geodesy > Satellite geodesy and space geodesy > Global Positioning System (GPS)
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