关键词: 自适应共振理论（ART）2网络, 聚类, 相位信息, 幅度信息

Abstract: While the matching measure of the pattern in clustering is only about the phase information and neglects the effects of the amplitude information of the patterns, traditional ART2 neural network can not cluster well for two clusters with the same phase but different amplitudes, and it also has limitation problem for inputs domain. As to the above disadvantages, an improved ART2 algorithm is put forward. The amplitude information of the patterns is also saved during the input pattern entering the network in the learning process, and the limitation is relaxed in a nonlinear transformation of negative numbers, and the shortest distance from the input pattern to the center of each cluster is taken into consideration. At the same time, a threshold to judge outliers is added to eliminate the influence of outliers on clustering results. Experimental results demonstrate that the performance of the improved ART2 is superior to the traditional ART2 when they cluster the two clusters with the same phase.

Key words: Adaptive Resonance Theory（ART）2 neural network, clustering, phase information, amplitude information