Dam blocks movement prediction using artifical neural networks
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 t...
| Main Authors: | , |
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| Format: | Article |
| Language: | Bosnian |
| Published: |
Union of Associations of Geodetic Professionals in Bosnia and Herzegovina
2017-12-01
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| Series: | Geodetski Glasnik |
| Subjects: | |
| Online Access: | https://www.glasnik.suggsbih.ba/glasnik/48/documents/GG48_74.pdf |
| _version_ | 1797256976137191424 |
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| author | Hamzić Adis Zikrija Avdagić |
| author_facet | Hamzić Adis Zikrija Avdagić |
| author_sort | Hamzić Adis |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T22:30:18Z |
| format | Article |
| id | doaj.art-3df6671534d945ee823faf2b3495366f |
| institution | Directory Open Access Journal |
| issn | 1512-6102 2233-1786 |
| language | Bosnian |
| last_indexed | 2024-04-24T22:30:18Z |
| publishDate | 2017-12-01 |
| publisher | Union of Associations of Geodetic Professionals in Bosnia and Herzegovina |
| record_format | Article |
| series | Geodetski Glasnik |
| spelling | doaj.art-3df6671534d945ee823faf2b3495366f2024-03-19T19:39:37ZbosUnion of Associations of Geodetic Professionals in Bosnia and HerzegovinaGeodetski Glasnik1512-61022233-17862017-12-01487488https://doi.org/10.58817/2233-1786.2017.51.48.74Dam blocks movement prediction using artifical neural networksHamzić Adis0https://orcid.org/0000-0001-8841-7676Zikrija Avdagić1https://orcid.org/0000-0002-0933-2699Public Enterprise Electric Utility of Bosnia and Herzegovina, Bosnia and HerzegovinaUniversity of Sarajevo, Faculty of Electrical Engineering, Sarajevo, Bosnia and HerzegovinaThe 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.https://www.glasnik.suggsbih.ba/glasnik/48/documents/GG48_74.pdfdammonitoringneural networksprediction |
| spellingShingle | Hamzić Adis Zikrija Avdagić Dam blocks movement prediction using artifical neural networks Geodetski Glasnik dam monitoring neural networks prediction |
| title | Dam blocks movement prediction using artifical neural networks |
| title_full | Dam blocks movement prediction using artifical neural networks |
| title_fullStr | Dam blocks movement prediction using artifical neural networks |
| title_full_unstemmed | Dam blocks movement prediction using artifical neural networks |
| title_short | Dam blocks movement prediction using artifical neural networks |
| title_sort | dam blocks movement prediction using artifical neural networks |
| topic | dam monitoring neural networks prediction |
| url | https://www.glasnik.suggsbih.ba/glasnik/48/documents/GG48_74.pdf |
| work_keys_str_mv | AT hamzicadis damblocksmovementpredictionusingartificalneuralnetworks AT zikrijaavdagic damblocksmovementpredictionusingartificalneuralnetworks |