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It is shown that a Hopfield neural network (with linear transfer functions) augmented by an additional feedforward layer can be used to compute the Moore-Penrose generalized inverse of a matrix. The resultant augmented linear Hopfield network can be used to solve an arbitrary set of linear equations or, alternatively, to solve a constrained least squares(More)
A neural network (NN) filter/target-tracking system has been developed as reported in [6]. The design accepts and inputs signal data to a noise/target classifier which uses spectral estimation techniques to distinguish noise from real targets. In that design, the NN is used to calculate the coefficients of an auto regres-sive linear predictive filter. The(More)
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