Product Information Forecast Based on B-P Neural Network

Abstract:

Article Preview

According to the fast increase of Information data and continuous enhancement of people’s requirement for analyze of information, it is more and more difficult to get requisite information to judgment and decision-making. For solving these problems, the design of an intelligent forecast system based on back propagation neural network is introduced. And the framework, data processing and arithmetic of the system are presented. By continuously running program debugging and optimization settings to modify the parameters, the predicted results and actual test results is to be closer.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1293-1296

DOI:

10.4028/www.scientific.net/AMR.219-220.1293

Citation:

W. C. Xie et al., "Product Information Forecast Based on B-P Neural Network", Advanced Materials Research, Vols. 219-220, pp. 1293-1296, 2011

Online since:

March 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.