Research on Pattern Recognition Based on BP Neural Network

Yong Lin Wang; Yan Liu; Sheng Bing Che

doi:10.4028/www.scientific.net/AMR.282-283.161

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 282-283Research on Pattern Recognition Based on BP Neural...

Research on Pattern Recognition Based on BP Neural Network

Abstract:

BP neural network has strong fault-tolerant and adaptive learning capacity, so it is widely used in pattern recognition. Based on the classic BP neural network, parameters of the BP algorithm has been optimized, which achieved a classification based on the improved BP neural network algorithm. By discussing the use of BP neural network in the application of pattern classification recognition, this paper detailedly studies the recognition effect of various parameters. Experimental results show that the improved algorithms has very good practical value.

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Periodical:

Advanced Materials Research (Volumes 282-283)

Pages:

161-164

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.282-283.161

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Online since:

July 2011

Authors:

Yong Lin Wang, Yan Liu, Sheng Bing Che

Keywords:

BP Neural Network (BPNN), Parameter Optimization, Pattern Recognition

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