![](/images/graphics-bg.png)
Enterprise Network Marketing Prediction Using the Optimized GA-BP Neural Network
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-21
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
As a brand-new marketing method, network marketing has gradually become one of the main ways and means for enterprises to improve profitability and competitiveness with its unique advantages.
Using these marketing data to build a model can dig out useful information that the business is concerned about, and the company can then formulate marketing strategies based on this information.
Sales forecasting is to speculate on the future based on historical sales.
It is a tool for companies to determine production volume and ensure the balance of product supply and sales.
It can help companies make correct business decisions to maximize profits.
The neural network can approximate the nonlinear function with arbitrary precision, and the time series prediction model based on the neural network can well reflect the nonlinear development trend of information.
Based on the analysis of the shortcomings of the traditional BP network, this paper uses a genetic algorithm with good global search capabilities to improve the neural network.
The thought and theory of optimizing the initial weight and threshold of the neural network of the GA algorithm are discussed in detail.
While expounding the forecasting method, it uses specific examples to analyze the performance and characteristics of the GA-BP network in the enterprise network marketing forecasting.
The results show that the GA-BP neural network is higher than the traditional BP neural network in terms of prediction accuracy and adaptability.
American Psychological Association (APA)
Yang, Ruyi. 2020. Enterprise Network Marketing Prediction Using the Optimized GA-BP Neural Network. Complexity،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1143220
Modern Language Association (MLA)
Yang, Ruyi. Enterprise Network Marketing Prediction Using the Optimized GA-BP Neural Network. Complexity No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1143220
American Medical Association (AMA)
Yang, Ruyi. Enterprise Network Marketing Prediction Using the Optimized GA-BP Neural Network. Complexity. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1143220
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143220