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Abstract
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Article Information:
Research on Food Network Marketing Performance Evaluation Based on Improved BP Algorithm
Li Xinwu and Wang Gensheng
Corresponding Author: Li Xinwu
Submitted: April 19, 2015
Accepted: May 10, 2015
Published: September 10, 2015 |
Abstract:
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The study presents a new BP neural network algorithm to evaluate food network marketing performance. First, rough set is used to determine the attribute dimension of decision table and simplify the calculation structure of BP neural network algorithm; Second, genetic algorithm is modified to search the weights in BP algorithm calculation globally and optimize BP algorithm locally to avoid the network falling into the local extremes; Third, a new indicator system for evaluating food networking marketing performance is established focusing on enterprise value; Finally the improved algorithm is applied to evaluate food networking marketing performance and the experimental results show that the improved algorithm has great superiorities, such as simple algorithm process, fast convergence speed, get out local minimum easily and high evaluation accuracy.
Key words: BP Algorithm, food network marketing, genetic algorithm, performance evaluation, rough set, ,
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Cite this Reference:
Li Xinwu and Wang Gensheng, . Research on Food Network Marketing Performance Evaluation Based on Improved BP Algorithm. Advance Journal of Food Science and Technology, (8): 637-642.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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