Qiang Ye, Harbin Institute of Technology, Harbin, China
Tao Lu, Harbin Institute of Technology, Harbin, China
Yijun Li, Harbin Institute of Technology, Harbin, China
Wenjun Sun, Harbin Institute of Technology, Harbin, China
As a useful analytical tool, artificial neural networks (ANN) are widely applied in analyzing the information stored in enterprise database or data warehouse. Certain structured ANN can also be used for customer segmentation. In the process of establishing the training data sets, there is the problem of selecting customer data from potentially wide-varying time periods, as is in a typical enterprise data warehouse. To solve this problem, we introduced a forgetting coefficient into the BP ANN; we also established a new ANN, ANN with forgetting, to improve the customer segmentation process.
Index Terms:
artificial neural network with forgetting, forgetting coefficient, BP algorithm, customer segmentation
Citation:
Qiang Ye, Tao Lu, Yijun Li, Wenjun Sun, "Neural Network with Forgetting: An ANN Algorithm for Customer," hicss, vol. 3, pp.92a, Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 3, 2005
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