MACHINE LEARNING APPROACHES FOR STABILITY PREDICTION OF RECTANGULAR TUNNELS IN NATURAL CLAYS BASED ON MLP AND RBF NEURAL NETWORKS

Machine learning approaches for stability prediction of rectangular tunnels in natural clays based on MLP and RBF neural networks

In underground space technology, the issue of tunnel stability black knight darts is a fundamental concern that significantly causes catastrophe.Owing to sedimentation and deposition processes, the strengths of clays are anisotropic, where the magnitudes of undrained shear strengths in the vertical and horizontal directions are different.The anisot

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A New Method for Short Text Compression

Short texts cannot be compressed effectively with general-purpose compression methods.Methods developed to compress short texts often use static dictionaries.In order to achieve high compression ratios, using a static dictionary suitable for the text to be compressed is an important problem that needs to be solved.In this study, a method called WSD

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