Paper Surface Defects Recognition Technology Based on Improved BP Network

Ai Juan Wei; Qian Li; Tang Wei

doi:10.4028/www.scientific.net/AMM.340.476

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 340Paper Surface Defects Recognition Technology Based...

Paper Surface Defects Recognition Technology Based on Improved BP Network

Abstract:

This paper proposed on-line detect method of eliminating the influence of sample order and adapting adjustment parameters, according to BP network was slow convergence and computationally intensive. Improving the speed and efficiency of training, the recognition process was more reliable and recognition results were more accurate. The experiment showed that improved BP network could meet the requirements of online testing, and recognition rate reached more than 91%.

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Periodical:

Applied Mechanics and Materials (Volume 340)

Pages:

476-479

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.340.476

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Online since:

July 2013

Authors:

Ai Juan Wei, Qian Li, Tang Wei

Keywords:

BP Network, On-Line Detection System, Paper Defect, Pattern Recognition

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References

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