DocumentCode
3419311
Title
The research on sales forecasting based on rapid BP neural network
Author
Jiang, Xue-Feng
Author_Institution
Sch. of Comput. Eng., Shenzhen Polytech., Shenzhen, China
fYear
2012
fDate
24-26 Aug. 2012
Firstpage
1239
Lastpage
1241
Abstract
The BP neural network and the conjugate gradient algorithm to improve BP neural network algorithm were discussed in this paper. And the simulation results of two kinds of sales forecasting were given. The results indicated that the BP neural network training time was longer and the forecasting precision was lower, but the improved BP neural network algorithm with Conjugate gradient algorithm shorten the training time, and it enhances the forecasting precision. The calculation results showed that the approaches of the improved BP neural network with conjugate gradient algorithm was feasible and could be used for sales forecasting.
Keywords
backpropagation; conjugate gradient methods; economic forecasting; neural nets; sales management; BP neural network training time; conjugate gradient algorithm; forecasting precision; rapid BP neural network; sales forecasting; BP neural network; conjugate gradient algorithm; sales forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location
Xi´an, Shaanxi
Print_ISBN
978-1-4673-1410-7
Type
conf
DOI
10.1109/CSIP.2012.6309083
Filename
6309083
Link To Document