Artificial neural network approach for prediction and control of ground vibrations in mines
Author:
Publisher
Informa UK Limited
Subject
Geology,Geotechnical Engineering and Engineering Geology,General Earth and Planetary Sciences,General Engineering,General Environmental Science
Link
http://www.tandfonline.com/doi/pdf/10.1179/037178404225006137
Reference12 articles.
1. Fragmentation mechanism in crater blasting
2. Approximation capabilities of multilayer feedforward networks
3. Application of neural networks for the prediction of the unconfined compressive strength (UCS) from Equotip hardness
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