Advances in Nonlinear System Identification的用法和样例：
- As a new type of recurrent neural network,echo state network(ESN) is applied to nonlinear system identification and chaotic time series prediction.
- The main research content is as follows;First, the fundamental theory of nonlinear system identification based on Volterra series model is introduced in detail.
- The main research in this dissertation focuses on the application of nonlinear system identification theory based on Volterra series model to rotor-bearing system fault diagnosis.
- Finally, the method is applied to the modeling of a CSTR process. The comparison of the wavelets network with both RBF and MLP networks on nonlinear system identification is illustrated.
- The paper proves the randomicity of Newtonian mechanics in nonlinear system by applying the theory of chaos.