Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...
Abstract: The computation of matrix pseudoinverses is a recurrent requirement across various scientific computing and engineering domains. The prevailing models for matrix pseudoinverse typically ...
Abstract: This article proposes an adjustable-error neural network (NN) approximator and incorporates it into the adaptive neural tracking controller design of ...