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http://dx.doi.org/10.5207/JIEIE.2007.21.6.094

Pattern Recognition of Hard Disk Defect Distribution Using Multi-Layer Perceptron Network  

Moon, Un-Chul (중앙대학교 전자전기공학부)
Lee, Jae-Du (중앙대학교 대학원 전자전기공학부)
Publication Information
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers / v.21, no.6, 2007 , pp. 94-101 More about this Journal
Abstract
In the Hard Disk Drive(HDD) production, the detect pattern or defective HDD set is important information to diagnosis of defective HDD set. This paper proposes a pattern recognition neural network for the defect distribution of HDD. In this paper, 5 characteristics are determined for the classification to six standard defect pattern classes. A multi-layer perceptron is trained for the pattern classification the inputs of which are 5 characteristic values and the 6 outputs are the nodes of standard patterns. The experiment with proposed neural network shows satisfactory results.
Keywords
Pattern Recognition; Hard Disk Drive; Artificial Neural Network; Perceptron;
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