Application of artificial neural networks for predicting the cuttability of rocks by drag tools
Many models have previously been developed for predicting specific cutting energy (SE), being the measure of rock cuttability, from intact rock properties employing conventional multiple linear or nonlinear regression techniques. Artificial neural networks (ANN) also have a great potential in buildi...
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Veröffentlicht in: | Tunnelling and underground space technology 2008-05, Vol.23 (3), p.273-280 |
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