Neural Network with Forgetting: An ANN Algorithm for Customer
Qiang Ye; Tao Lu; Yijun Li; Wenjun Sun
System Sciences, 2005. HICSS apos;05. Proceedings of the 38th Annual Hawaii International Conference on
Volume , Issue , 03-06 Jan. 2005 Page(s): 92a - 92a
Digital Object Identifier   10.1109/HICSS.2005.454
Summary: 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.

» View citation and abstract

Log in by entering your IEEE Web Account Username and Password.

IEEE Communications Society members: If you subscribe to the IEEE Electronic Periodicals Package or IEEE Electronic Periodicals Package Plus, you must access your subscription at www.comsoc.org.

Check with your librarian, information professional, or system manager to determine if you need to log in. Please complete the online Technical Support Form if you need assistance.

Select the Purchase History link to access the document. You will have 5 Days after purchase to access the Full Text PDF. Please complete the online Technical Support Form if you need assistance.

• Search and access Abstract records free of charge
• Register for table of contents alerts
• Purchase Full Text PDF documents

» Learn more about subscription options or how to become an IEEE Member.