A Way of Kohonen Neural Network Based Model for User Behavior Pattern Mining

Liangming Wang · Journal of Nanchang University · 2009

According to the Kohonen self-organizing feature map neural network in the nature of the learning stage,the studying will be divided into two stages by choosing a different learning rate and neighborhood function: rough adjustment studying and micro-adjustment studying.It leads to improve the results from Kohonen Neural network convergence and the clustering accuracy,and provides a workable solution for a variety of users interesting in customers mining.

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