Parameter estimation of nonlinear system using hybrid intelligent method is presented. A recursive least squares estimation combined with genetic algorithm is used in this study. A recurrent neural network for system identification and a conventional parameter estimation using recursive least-squares method are also given for comparison. After test, the proposed scheme has better performance on parameter estimation than the conventional least-squares estimation and the recurrent neural network.