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 :
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