Feature Recognition Based on RBF Neural Networks

Feature representation and recognition efficiency are two primary problems in feature recognition based on neural networks．A novel model，in which the information of constituent faces and adjacent edges are used for feature encoding，is proposed．Furthermore，a feature recognition method based on RBF neural network is presented．Finally，the typical manufacture features has been recognized with this method．