The application of improved quantum self-organizing neural network model in web users access mode mining

Abstract

In this paper, Put forward a model of web users access mode mining, which is based on improved quantum self-organizing neural network, solved a series of interest problems of web users mining, used related superposition features of quantum states, accomplished the operations of automatic classification and statistical analysis, output some neurons whose membership grade is greater than threshold value. Testing results show that the improved model is feasible, has stronger model generalization ability and generalization ability in the case of sufficient training samples, can better perform clustering operations for web users, dynamically generate personalized web pages for different classes web users. © 2012 Springer-Verlag Berlin Heidelberg.