Application of fuzzy neural network in multi-maneuvering target tracking

In this paper, a new method combined fuzzy theory and neural network was proposed, which was employed to solve multi-maneuvering target tracking. Multi-maneuvering target tracking is a process, which manages measure information to maintain currently state estimate. The fields of fuzzy sets and neural network have made rapid progress in recent years. Neural networks are nonlinear network of self-organization and self-learning, they possess the capabilities of large-scale parallel processing, distributed information, neural network have important influence on the revolution of traditional target tracking theory. The training of fuzzy rule-based systems by using the learning ability of neural network can improve the expression ability of the network. Combining the fuzzy theory and neural network is a new approach to solve multi-maneuvering target tracking.