In this paper we develop a new estimating and testing procedure on the cointegrated relationship among nonlinear long memory time series by the means of neural network technique. Monte Carlo simulation is also presented to illustrate the application value of the new method. Furthermore, based on the ergodic theory of Markov process we analyze the stationary distribution of network residual series, and prove the efficient conditions under which the unique asymptotic stationary distribution exists.