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Prediction of subsidence due to underground mining by artificial neural networks

✍ Scribed by Tomaž Ambrožič; Goran Turk

Book ID
114110270
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
410 KB
Volume
29
Category
Article
ISSN
0098-3004

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Observations in the ®eld demonstrate that there exist discrepancies between the dierential movements predicted from theory and those experienced in practice. From the point of view of structural damage, such discrepancies should be eliminated in order to decrease subsidence damage associated with mi