THE CHOSEN CLASSICAL AND NON-CLASSICAL ALGORITHMS IN THE GEODETIC MEASUREMENTS OF DISPLACEMENTS

Authors

  • Slawomir Gibowski University of Zielona Gora (PL)

DOI:

https://doi.org/10.17770/etr2007vol1.1719

Keywords:

non-uniform settlements, kinematic geodetic network, neural networks

Abstract

The approach to analysing the measurement results of a levelling network which was established to identify the vertical displacements of the earth dam crone of a waste pond was presented in the paper. The obtained measurement results carried out by a precise levelling method were used in determining the precise displacements of the controlled points in the time function. The non-linear models of a kinematic network were applied to describe the displacements. A numerical evaluation of periodic measurement results was carried out by classical algorithms and neural networks. The neural networks recognized as the sophisticated modelling techniques were able to copy the non-linear functions.

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References

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Published

2007-06-23

How to Cite

[1]
S. Gibowski, “THE CHOSEN CLASSICAL AND NON-CLASSICAL ALGORITHMS IN THE GEODETIC MEASUREMENTS OF DISPLACEMENTS”, ETR, vol. 1, pp. 62–69, Jun. 2007, doi: 10.17770/etr2007vol1.1719.