Multi-target Recognition Based on BP Neural Network Classifier

The features of multiple targets were extracted whose data were used as the input of neural network classifier.Both the classifier of a multi-output BP neural network and the combined classier of a single-output BP neural network was trained with different algorithms.The results show that a high recognition rate can be obtained with this method.