Implementing of an improved structure based on standard ART-2 neural network

摘要

ART-2 is a self-organized and unsupervised artificial neural network which can recognize complicated inputting patterns. This paper presents a new structure aiming to discard small amplitude information during classifying the data by Standard ART-2 network, especially the time series data. So, we proposed an improved structure based on standard ART-2.Finally, the problem of “discard small amplitude information” is successfully resolved by improved structure and a simulation is given to show the superiority.