New method for transforming global positioning system height into normal height based on neural network

Journal of Surveying Engineering

Volumn 130, Issue 1, 2004, Pages 36-39

  Hu, Wusheng ^a   Sha, Yuejin ^a   Kuang, Shanlong ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b ASC Amer Surv Consultants PC   (United States)

Author keywords

Algorithms; China; Global positioning; Height; Neural networks

Indexed keywords

ALGORITHMS; BACKPROPAGATION; GEODESY; GLOBAL POSITIONING SYSTEM; NEURAL NETWORKS;

CONICOID FITTING METHOD (CFM);

SURVEYING;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DATA PROCESSING; GEODETIC DATUM; GPS;

ASIA; CHINA; EURASIA; FAR EAST;

EID: 1342267338     PISSN: 07339453     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9453(2004)130:1(36)     Document Type: Article

References (7)

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3. Hu, W. S., Hua, X. S., and Zhang, Z. W. (2002b). "Conversion of GPS height in plainness area by the CF & NNM method." ACTA Geodaetica et Cartographica Sinica, 31(2), 128-133 (in Chinese).
4. Leonard, J., and Kramer, M. A. (1990). "Improvement of the back propagation algorithm for training neural networks." Comput. Chem. Eng., 14(3), 337-341.
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