Convergence of Completely Connected Recursive Neural Networks

This paper discusses the convergence of completely connected recursive neural networks. That is, we analyze the affection of output of the neural networks under which the error donpsilat accumulate, brought by disturbances of inputs and weights. The corresponding conditions are obtained, which are also the conditions of convergence of the neural networks.