Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 282-283)
Chapter
Chapter 1: Material Engineering, Chemistry, Bioinformatics
Edited by
Helen Zhang and David Jin
Pages
161-164
DOI
10.4028/www.scientific.net/AMR.282-283.161
Citation
Y. L. Wang, Y. Liu, S. B. Che, "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
$32.00
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