A new BP algorithm for network marketing performance evaluation of agricultural products

被引：0
作者：
机构：
[1] School of of Business Administration, Jiangxi University of Finance and Economics, 330013, Nanchang, Jiangxi
[2] School of Information Technology, Jiangxi University of Finance and Economics, 330013, Nanchang, Jiangxi
[3] Jiangxi Key Laboratory of Data and Knowledge Engineering, Jiangxi University of Finance and Economics, 330013, Nanchang, Jiangxi
来源：
Zou, C.-F. | 1600年 / Asian Network for Scientific Information卷 / 13期
关键词：
Agricultural products; BP neural network; Network marketing; Performance evaluation;
D O I：
10.3923/jas.2013.4332.4335
中图分类号：
学科分类号：
摘要：
Network marketing performance evaluation can sum up and improve the network marketing activities for network enterprises. So, how to evaluate network marketing performance has become a matter of concern in the field related. The study mainly takes agricultural products for example and presents a new algorithm for evaluating network marketing performance based on improved BP neural network algorithm. First, a evaluation indicator system for evaluating network marketing performance of agricultural products is constructed; Second the study analyzes the reasons of the defects of BP neural network algorithm and then designs a new BP algorithm and improves it through changing its learning rate to speed up the calculation and simplify the structure of the original BP algorithm; Finally, the improved algorithm is realized with three e_commerce enterprises are taken for examples to evaluate the network marketing performance and verify the validity and feasibility of the model and the experimental results show that the model can evaluate the network marketing performance of different enterprises practically. © 2013 Asian Network for Scientific Information.
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页码：4332 / 4335
页数：3
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