I think there are some however I am not sure that can help you.

See the papers below:

1. Miima, J. B., Niemeier, W., Kraus, B., 2001. A neural network

approach to modelling geodetic deformations. In: Carosio A.,

Kutterer H. (Eds): First International Symposium on Robust

Statistics and Fuzzy Techniques in Geodesy and GIS, ETH

Zurich, March 12-16, pp. 111-116.

http://www.igp-data.ethz.ch/berichte/Graue_Berichte_PDF/295.pdf#page=112

2. From a fully automated structure monitoring to a neural network data inference: The Fallersleber Torbrücke in Braunschweig 1999 – now

M. Heinert, S. Reiser, W. Niemeier

http://www.fig.net/commission6/baden_2006/PDF/AOD/Heinert.pdf

See the papers of Miima John Bosco (Germany).

3. http://www.cartesia.org/geodoc/isprs2004/comm7/papers/138.pdf

Thank you. these papers are completely matching what I am loking for. greetings, Mr. Üstüner :) Teşekkür ederim sayın hocam.

1. Artificial Neural Network: A Powerful Tool for Predicting Gravity Anomaly from Sparse Data

A.R. Tierra, S.R.C. de Freitas

2. Stopar, B., Ambrozic, T., Kuhar, M., & Turk, G. (2000). Artificial neural network collocation method for local geoid height determination. Proc IAG Int Sym Gravity, Geoid and Geodynamics 2000. Banff, Canada.

3. Miima, J., Niemeier, W., & Kraus, B. (2001). A neural network aproach to modeling geodetic deformation. Corosio A, Kutterer H (eds) Proc 1st Int Symp Robust Stat Fuzzy Tech in Geod and GIS (págs. 111-116). Zurich: Swiss Federal Institute of Technology.

4. Kavzoglu, T., & Saka, M. (2005). Modelling local GPS/levelling geoid undulations using artificial neural. Journal of Geodesy (2005) 78, 520 - 527.

5. Heine, K. (2001). Potencial application of fuzzy methods in geodetic fields. Carosio A, Kutterer H (eds) Proc 1st Int Symp Robust (págs. 87-93). Zurich: Swiss Federal Institute.

http://link.springer.com/chapter/10.1007%2F3-540-26932-0_36

Dear Mustafa Zeybek,

Together with JB Miima I dealt for several years together with ANN in Geodesy. Some Articles:

Introduction:

Application of Artificial Intelligence and Innovations in Engineering Geodesy

Building Monitoring

From fully automated observations to a neural network model inference: The Bridge "Fallersleben Gate" in Brunswick, Germany 1999–2006

Artificial neural networks–how to open the black boxes

Feel free to visit my profile.

https://www.researchgate.net/profile/Michael_Heinert?ev=hdr_xprf

Best regards

Michael Heinert

Thank you for your attentions and giving samples about Ann.