DocumentCode
536299
Title
Study on data disposing method by Vague set based BP network
Author
Zhao, Faxin ; Chang, Chunguang
Author_Institution
Sch. of Inf. Sci. & Technol., Zhanjiang Normal Univ., Zhanjiang, China
Volume
2
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
841
Lastpage
844
Abstract
The capability to dispose uncertain information of training samples for BP neural network is not strong enough. To tackle this problem, Vague set is introduced into the conventional BP neural network, and the implement method of Vague set based BP (VBP) neural network is studied in detail. To validate the performance of VBP neural network, the monitoring of real time produce process is taken as research background, the result by VBP neural network is compared with those results by conventional BP neural network under three input modes. The result shows that, the test accuracy rate by VBP neural network is higher than those by conventional BP neural network under three input modes. VBP neural network is fit for training samples with uncertain information, and it indicates broad application prospect.
Keywords
backpropagation; fuzzy set theory; neural nets; uncertain systems; VBP neural network; data disposing method; training samples; uncertain information disposing; vague set; Facsimile; Monitoring; BP neural network; Fuzzy set; Vague set; membership degree function;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-6582-8
Type
conf
DOI
10.1109/ICICISYS.2010.5658632
Filename
5658632
Link To Document