The Pattern Recognition Method for Wear Particle Image Based on Rough Sets — Neural Network Theory

Abstract:

By analysis the difference of applying the rough set method and the neural network method to pattern recognition, a improved recognition method that the rough set method is the front system of neural network was produced. the advantages of this method is that the knowledge representation system is reduced without affecting the recognition precision, so the complexity of neural network system and the time of calculating the attribute value is declined ; at the same time ,the neural network as the postpositional system has the tolerance and anti-jamming capability, but it is difficult to do this with rough set method. The example about how to combine these two methods and conclusions from this combination was given.

• Periodical: Advanced Materials Research (Volume 1037)
• Pages: 345-348
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1037.345
• Online since: October 2014
• Authors: Shi Hong Bai*, Li Rong Guan, Yan Jing Wang
• Keywords: Neural Network Theory, Pattern Recognition, Rough Set Theory

References

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[2] Abhijit S. Pandya, Robert B. Macy, Pattern Recognition with Neural Networks in C++[M]. Beijing: Publishing House of Electronics Industry, (1999).