Research of Dynamic Competitive Learning in Neural Networks

Introduce a method of generation of new units within a cluster and a algorithm of generating new clusters.The model automatically builds up its dynamically growing internal representation structure during the learning process.Comparing model with other typical classification algorithm such as the Kohonen's self-organizing map, the model realizes a multilevel classification of the input pattern with an op tional accuracy and gives a strong support possibility for the parallel computational main processor. The idea is suitable for the high level storage of complex datas struetures for object recognition.