Improved algorithm for ART2 neural network
一种ART2神经网络的改进算法

Due to normalization in pretreatment stage,some important but small amplitude component will be removed as noise in traditional ART2 neural network.It will lose important information in clustering process.Lack of pattern drifting also exists and the causes for this lack were analyzed.The traditional ART-2 neural network was modified based on this idea:removing unit and different distances between samples to the cluster center have different influences on excursion of the cluster center.It verifies that the improved ART2 neural network has reformed pattern drifting greatly according to the result of test on gradual changing data.The improved ART2 neural network has definite value in data classification of nuclear radiation field.