Dam blocks movement prediction using artifical neural networks

Journal Title: Geodetski glasnik - Year 2017, Vol 51, Issue 48


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 behavior 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 artificial 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.

Authors and Affiliations

Hamzić Adis, Zikrija Avdagić


Related Articles

Different methods for remote sensing data integration

Nowadays remote sensing is an indispensable source of information about Earth's surface, primarily satellite-based remote sensing systems. Traditionally, the analysis of data collected from a particular area was based on...

TPS and TLS laser scanning for measuring the Inclination of tall chimneys

The verticality of tall chimneys needs to be accurately monitored. Vertical plumbing, the classic geodetic procedure for detecting the inclination has certain drawbacks and can be replaced by modern technology if necessa...

Forest detection using avaliable Landsat satellite imagery in Bosnia and Herzegovina

It is apparent devastation of forest resources in Bosnia and Herzegovina in different ways. Surveyors employed in forest management societies and Forestry administrations of different levels of government witnesses this...

Vela and Mala Palagruža - Diomediae Insulae

Sailing route leading from central Dalmatia to the Gargano region was one of the most heavily travelled seaways in antiquity. On the one hand it is marked by the toponyms associated with Diomedes and his cult in historic...

Parameters determination of the circular object with application of regression analysis

Paper presents the method of determining parameters defining the shape and size of the engineering objects through a series of discrete points, as well as controlling the geometry of the objects using regression analysis...

Download PDF file
  • EP ID EP309219
  • DOI -
  • Views 131
  • Downloads 0

How To Cite

Hamzić Adis, Zikrija Avdagić (2017). Dam blocks movement prediction using artifical neural networks. Geodetski glasnik, 51(48), 74-88. https://europub.co.uk/articles/-A-309219