A RBF neural networks based feature

A RBF (Back-Propogation) neural networks based feature is applied to the target recognition, which aims at only recognition of the target feature and searches the hyperplane of the local space taking the target feature as center. The classifier integrates the target feature with RBF ANNs. It evaluates importance of each sample to the target feature by using expected output of the dynamic ANNs training process. Experiment results show that it is more robust than the traditional method.