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 :
بازگشت