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An application of a neuro-fuzzy inference system for pattern classification of HDD defect distribution
- Moon, U.-C.;
- Jang, H.;
- Dos Santos, M.V.
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0초록
In the production of Hard Disk Drive (HDD), the pattern of HDD defect distribution gives the information about the defective component of HDD. This paper presents a pattern classification method for the HDD defect distribution. Five features of the pattern are developed and an Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to classify the input pattern. The ANFIS is trained with the sense of supervised learning. The trained ANFIS shows satisfactory results for classification of HDD defect distribution. © 2010 IEEE.
키워드
Adpative Neuro-Fuzzy Inference System(ANFIS); Component; Hard Disk Drive(HDD); Pattern classification; Adaptive neuro-fuzzy inference system; Component; Defect distribution; Hard disk drives; Input patterns; Neuro-fuzzy inference systems; Pattern classification; Data processing; Defects; Fuzzy inference; Fuzzy systems; Hard disk storage
- 제목
- An application of a neuro-fuzzy inference system for pattern classification of HDD defect distribution
- 저자
- Moon, U.-C.; Jang, H.; Dos Santos, M.V.
- 발행일
- 2010
- 유형
- Conference Paper
- 저널명
- Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
- 언어
- ENG
- ISSN
- P 0000-0000