Abstract
In Global Position System (GPS) height fitting methods, the traditional mathematical model fittings are more stable and general, but the fitting accuracy is usually not intended because of the error of model itself. Gene Expression Programming (GEP) as a kind of newly invented Genotype/phenotype based genetic algorithm can conquer the problem effectively. A GPS height fitting method based on GEP is given in this paper. By experiments and making the analysis and comparison with conicoid function and polyhedral function fitting methods, the results indicate that the GPS height fitting method based on GEP is effective and has better accuracy than traditional mathematical model methods to some extent.
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© 2010 Springer-Verlag Berlin Heidelberg
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Yue, X., Wu, Z., Jiang, D., Li, K. (2010). GPS Height Fitting Using Gene Expression Programming. In: Cai, Z., Hu, C., Kang, Z., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2010. Lecture Notes in Computer Science, vol 6382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16493-4_3
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DOI: https://doi.org/10.1007/978-3-642-16493-4_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16492-7
Online ISBN: 978-3-642-16493-4
eBook Packages: Computer ScienceComputer Science (R0)