Research on complex dynamic systems using neural networks

Artificial neural network is a theory and technology developing speedily in intelligence research area of computer in recent years, which is applied in modeling of computer system simulation due to no need of establishing precise physical model and mathematical model in advance. Neural network is a modeling method of system simulation that has strong application. Meanwhile, this method has the capability to acquire knowledge by learning from environment (namely, obtain the law contained in the internal of system by learning from typical sample data of input/output of system), so it has better application for system simulation. Focusing on some actual problems of dynamic system simulation, artificial neural network model and learning algorithm that applies in complex dynamic system modeling are researched in this paper.