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Prediction of subsidence due to underground mining by artificial neural networks
ID Ambrožič, Tomaž (Avtor), ID Turk, Goran (Avtor)

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MD5: 6C2B8EA30E7CD97EB8D83B00ECF2DCF5
PID: 20.500.12556/rul/7a5bcf5a-86c0-49c7-ae6b-5b549fc1545a

Izvleček
Alternatively to empirical prediction methods, methods based on influential functions and on mechanical model, artificial neural networks (ANNs) can be used for the surface subsidence prediction. In our case, the multi-layer feed-forward neural network was used. The training and testing of neural network is based on the available data. Input variables represent extraction parameters and coordinates of the points of interest, while the output variable represents surface subsidence data. After the neural network has been successfully trained, its performance is tested on a separate testing set. Finally, the surface subsidence trough above the projected excavation is predicted by the trained neural network. The applicability of ANN for the prediction of surface subsidence was verified in different subsidence models and proved on actual excavated levels and in levelled data on surface profile points in the Velenje Coal Mine. (C) 2003 Elsevier Science Ltd. All rights reserved.

Jezik:Angleški jezik
Ključne besede:artificial neural network, subsidence prediction, multi-layer feed=forward neural network, approximation of functions, mining damage
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FGG - Fakulteta za gradbeništvo in geodezijo
Založnik:Elsevier
Leto izida:2003
Št. strani:Str. 627-637
Številčenje:Vol. 29, Vol. 29
PID:20.500.12556/RUL-32124 Povezava se odpre v novem oknu
UDK:624.131.5
ISSN pri članku:0098-3004
DOI:10.1016/S0098-3004(03)00044-X Povezava se odpre v novem oknu
COBISS.SI-ID:1972833 Povezava se odpre v novem oknu
Datum objave v RUL:10.07.2015
Število ogledov:3891
Število prenosov:1202
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Gradivo je del revije

Naslov:Computers & Geosciences
Skrajšan naslov:Comput. geosci.
Založnik:Pergamon Press
ISSN:0098-3004
COBISS.SI-ID:25264128 Povezava se odpre v novem oknu

Sekundarni jezik

Jezik:Angleški jezik
Ključne besede:umetna nevronska mreža, napovedovanje ugreznine, večslojna usmerjena nevronska mreža, aproksimacija funkcij, rudarska škoda

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