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 3 Piece Sectional with Cuddler issue of tunnel stability 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 differen

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Quantum quench in c = 1 matrix model and emergent space-times

Abstract We consider quantum quench in large-N singlet sector quantum mechanics of a single hermitian matrix in the double scaling limit.The time dependent parameter is the self-coupling of the matrix.We find exact classical solutions of the collective field theory of the eigenvalue density with abrupt and smooth quench profiles which asymptote to

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