Časopis Saveza udruženja građana geodetske struke u Bosni i Hercegovini

Journal of the Union of Associations of Geodetic Professionals in Bosnia and Herzegovina

Prvi štampani broj časopisa objavljen je 1967. godine. Elektronsko izdanje časopisa objavljuje se na internetu od 2011. godine.


The first printed issue of the journal was published in 1967. Electronic edition of the journal is published on the internet since 2011.

UDK 528  /  ISSN: 1512-6102  /  ISSN 2233-1786 Online







GEODETSKI GLASNIK Volume 51 Issue 48 (December 2017)






Adis Hamzić

Public Enterprise Electric Utility of Bosnia and Herzegovina

Jablanica, Bosnia and Herzegovina

E-mail adress: hamzicadis87@gmail.com


Zikrija Avdagić

Faculty of Electrical Engineering, University of Sarajevo

Sarajevo, Bosnia and Herzegovina

E-mail adress: zavdagic@etf.unsa.ba






Adis Hamzić, Zikrija Avdagić




The dams are very important objects for production of electric energy, irrigation, flood management and tourism. However, besides all benefits the dams provide, they also represent great danger for areas downstream because there is always risk of dam failure. To prevent dam failure it is important to perform regular dam monitoring and for that purpose geodetic and physical methods are used. Geodetic methods use special network of points for object monitoring where reference points are used for monitoring of object points which are strategically distributed on the object. By quality prediction of object behaviour it would be possible to prevent further damage on the object and additionally to save human lives in cases of great danger. In this paper artifical neural networks (ANNs) are used for dam movement prediction. ANNs are very popular tool for prediction since they are known for their quick learning ability and good generalization ability which gives them advantage compared to traditional statistical methods.




dam, monitoring, neural networks, prediction.



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UDK 528.482


Article Type:

Review article


pp. 74-88


Full text: