Constructive neuron networks classification algorithm based on bionic pattern recognition
基于仿生模式识别的构造型神经网络分类方法

This paper introduced the theory of bionic pattern recognition into neural networks classification,Firstly from geometric significance of the BP neuron model and the RBF neuron model,proposed a new constructive neuron networks classification algorithm based on bionic pattern recognition.Then covered high dimensional geometrical distribution of the sample set in the feature space by constructing a new type of ANN.Finally,the test proves that the algorithm is very effective.