Dam blocks movement prediction using artifical neural networks
Journal Title: Geodetski glasnik - Year 2017, Vol 51, Issue 48
Abstract
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
Geodetic works in the construction of the pillar of ''Briješće'' viaduct
Surveying is an undisputed link in the chain of professions that participate in the realization of projects for the construction of various buildings and structures. Different stages of construction require the engagemen...
Changes in the level of magnetic declination in the Adriatic from 1806 to 1995 – a contribution to the history of Adriatic seafaring
The paper analyzes changes in magnetic declination in the Adriatic Sea from the first measurements in 1806 to the latest isogonic charts from 1995. The basis of analysis are data provided by the Adriatic pilot books as l...
Introduction of a new geodetic reference systems in Bosnia and Herzegovina
The introduction of a new reference system in Bosnia and Herzegovina is not only a necessity, but an obligation imposed by the United Nations (UN) and the European Union (EU). At the General Assembly on February 26, 2015...
Evaluating training data for crop type classifıcation using support vector machine and random forests
This study evaluated the effectiveness of three different training datasets for crop type classification using both support vector machines (SVMs) and random forests (RFs). In supervised classification, one of the main f...
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...