RESEARCH ON DYNAMIC MODELING BASED ON TCHEBYCHEFF ORTHOGONAL NEURAL NETWORK

This paper presents a dynamic modeling method based on orthogonal neural network. It fully uses the characteristics of the nonlinear processing ability of Tchebycheff polynomial and the efficient disposal of the large scaling sparse problems that givens transform can process. It can not only train the network quickly, but also optimize the structure of the network. Simulating experiments show that the new modeling method is a simple universal modeling approach for the nonlinear systems.