Research on Pattern Recognition Based on BP Neural Network

Abstract:

Article Preview

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.

Info:

Periodical:

Advanced Materials Research (Volumes 282-283)

Edited by:

Helen Zhang and David Jin

Pages:

161-164

DOI:

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

Citation:

Y. L. Wang et al., "Research on Pattern Recognition Based on BP Neural Network", Advanced Materials Research, Vols. 282-283, pp. 161-164, 2011

Online since:

July 2011

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Price:

$35.00

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