TY - JOUR
AU - 
AB - Advance Journal of Food Science and Technology 7(10): 810-814, 2015 ISSN: 2042-4868; e-ISSN: 2042-4876 © Maxwell Scientific Organization, 2015 Submitted: October ‎17, 2014 Accepted: December ‎18, ‎2014 Published: April 05, 2015 Research on Evaluation Indicator System and Methods of Food Network Marketing Performance Xinwu Li and Jiajia Zhang Department of Electronic Business, Jiangxi University of Finance and Economics, Nanchang 330013, China Abstract: The research on network marketing performance evaluation, including evaluation indicator system and methods, lies in the core status in marketing performance management system. A new evaluation indicator system and wavelet BP neural network algorithm are presented to evaluate food network marketing performance. First, the evaluation indicator system of food network marketing performance is constructed based on analyzing the unique characteristics of food network marketing performance; Second, the wavelet BP algorithm is designed, then genetic algorithm is used and the calculation flows of the new algorithm are redesigned to improve the convergence speed of wavelet BP neural network algorithm; Finally, the presented evaluation indicator system and algorithm are realized to evaluate network marketing performance of three food network enterprises and the evaluation results show that that the algorithm can improve calculation efficiency and evaluation accuracy when used practically 
TI - Research on Evaluation Indicator System and Methods of Food Network Marketing Performance
JF - Advance Journal of Food Science and Technology
DO - 10.19026/ajfst.7.1988
DA - 2015-04-05
UR - https://www.deepdyve.com/lp/unpaywall/research-on-evaluation-indicator-system-and-methods-of-food-network-n76Tprmep3
DP - DeepDyve
ER -