DocumentCode :
2374895
Title :
Application of BP neural network to sale forecast for H company
Author :
Zheng Li ; Renwang Li ; Zhaohui Shang ; Haiyan Wang ; Xiulan Chen ; Canlin Mo
Author_Institution :
Fac. of Mech. Eng. & Autom., Zhejiang Sci-Tech Univ., Hangzhou, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
304
Lastpage :
307
Abstract :
The aim of the work presented in this article is to make sales forecasting as accurate as possible through the use of BP artificial neural network. Firstly, this article introduces the basic principles of BP artificial neural network, and constructs a sales forecasting model based on the theory of BP artificial neural network. Then, with the help of MATLAB, we obtained the predicted sales data using this model, and compared it with the actual sales data, the results showed a highly degree of consistency. BP neural network is a precise program can get satisfactory results in sales forecasting.
Keywords :
backpropagation; fork lift trucks; machinery production industries; neural nets; sales management; BP artificial neural network; H company; MATLAB; sales forecasting model; Accuracy; Artificial neural networks; Companies; Manufacturing; BP artificial neural network; Manufacturing; Sales forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-1211-0
Type :
conf
DOI :
10.1109/CSCWD.2012.6221835
Filename :
6221835
Link To Document :
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