An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines
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DOI: 10.1109/tnnls.2019.2952864
Abstract: Deep belief network (DBN) is an efficient learning model for unknown data representation, especially nonlinear systems. However, it is extremely hard to design a satisfactory DBN with a robust structure because of traditional dense representation.… read more here.
Keywords: belief network; restricted boltzmann; sparse restricted; deep belief ... See more keywords