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For online solution of time-varying linear equations, a special kind of recurrent neural networks has recently been proposed by Zhang et al. It has been proved that global exponential convergence of such recurrent neural networks (or termed Zhang neural networks, ZNN, for presentation convenience) can be achieved. For easier hardware-realization, as well as to find out the effect of time-derivative...
A special kind of recurrent neural networks (RNN) has recently been proposed by Zhang et al for online time- varying problems solving. Different from conventional gradient neural networks (GNN), such RNN (or termed specifically as Zhang neural networks, ZNN) are designed based on matrix-valued error functions, instead of scalar-valued error functions. In addition, they are usually depicted in implicit...
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