Robustness analysis of Wang neural network for online linear equation solving

The Wang neural network, which could be implemented into circuits, can solve online linear equations effectively and efficiently under the ideal noise-free condition. With the consideration of noises on coefficients and large implementation error, robustness analysis of such a model is presented with the upper boundary of the steady-state solution error also estimated. Illustrative examples demonstrate theoretical results about the robustness properties of the Wang neural network for solving online linear equations.