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This article aims to provide a concise review on the state-of-the-art application of soft computing techniques to predict various parameters in tunnelling and underground excavations. Various soft computing techniques involving data mining and machine learning have found their application in the tunnelling-related problems. This article explores the application of artificial neural networks (ANNs),...
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