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- W1578867065 abstract "This paper discusses an important problem emerged in applying GPS to wetland study–transformation method between coordinates system of local electrical maps and global coordinates system of GPS data. Traditional method is complex and not precise enough for large area. In this paper, a feed-forward neural network is build and the back propagation algorithm is used. The Levenberg-Marquardt algorithm and a modified error function are adopted to improve convergence rate and generalization ability. Neural network model, learning principle, simulation curves and results comparation are discussed in detail. The study is undertaken on Songhua River Basin. Practice results prove that compared with traditional method, neural network method succeeds in solveing complex problem and is effective in dynamic data analysis of wetland." @default.
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- W1578867065 date "2004-01-01" @default.
- W1578867065 modified "2023-09-24" @default.
- W1578867065 title "Research on Neural Network Method in GPS Data Transformation" @default.
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- W1578867065 doi "https://doi.org/10.1007/978-3-540-28648-6_114" @default.
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