Abstract
Evaluation of customer value is the basis and core of customer relationship management of shipping enterprises to improve customer management to win the market. Therefore, it is necessary to construct a shipping customer value evaluation system based on BP neural network model, with dealing with non-linear mapping which could satisfactorily describe the non-linear relations between character and diagnosis results to solve the evaluation of customer value of shipping enterprise, which is a kind of problem with various factors, uncertainty and non-linear. The paper designed the BP neural network model, and presented the doable evaluating programs using neural network toolbox in Matlab according to the index system of customer value evaluation. It is proved that the result of shipping customer value evaluated by this model would be objective, dynamic and flexible.
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© 2014 Springer International Publishing Switzerland
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Wang, W., Gong, Z. (2014). Evaluating Customer Value of Shipping Enterprises Based on BP Neural Network. In: Zu, Q., Vargas-Vera, M., Hu, B. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2013. Lecture Notes in Computer Science, vol 8351. Springer, Cham. https://doi.org/10.1007/978-3-319-09265-2_62
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DOI: https://doi.org/10.1007/978-3-319-09265-2_62
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09264-5
Online ISBN: 978-3-319-09265-2
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