Analogue recurrent neural network for linear algebraic equation solving

A new recurrent neural network (RNN) is presented for solving online linear time-invariant (LTI) equations, which has been developed based ingeniously on a vector-valued error-function rather than a scalar-valued norm-based function. Theoretical analysis and simulation results both substantiate the efficacy of such an RNN model for online LTI equation solving.