A kind of neural network similar to ART network with application to radar signal sorting
Jinsong Tang, Zhaoda Zhu · 2002
In order to solve the problem of radar signal sorting in real time, this paper presents a kind of neural network (NN) similar to ART network. Its characteristic is to finish heuristic clustering algorithm of pattern recognition by using adaptive resonance theory (ART) on the basis of making good use of data statistic property. This NN has not the self-stabilized top-down structure of the general ART network. The self-stabilized learning is finished by bottom-up structure. Although this NN has less adaptability than ART NN, it can solve a wide variety of problems as well. The vigilance and weight updating have more strict mathematical formulas. The result of digital simulation shows this network can work well in sorting radar signals. It can also be used to solve the similar problem of clustering.>