마할라노비스 다구찌 시스템의 다중 클래스 분류 성능 향상을 위한 새로운 방법

• 영문명: A Method for Improving Multiclass Classification Performance of Mahalanobis Taguchi System
• 발행기관: 한국IT서비스학회
• 저자명: 차재민(Jae-Min Cha) 김준영(Joon-Young Kim) 신중욱(Junguk Shin) 염충섭(Choongsub Yeom)
• 간행물 정보: 『한국IT서비스학회 학술대회 논문집』2016추계학술대회, 411~414쪽, 전체 4쪽
• 주제분류: 공학 > 전자/정보통신공학
• 파일형태: PDF
• 발행일자: 2016.11.30

영문 초록

Classification between normal and abnormal status of system is one of the important problems in all the industry. Mahalanobis Taguchi System(MTS) that is one of the pattern classification techniques based on mahalanobis distance concept and taguchi quality engineering theory is very efficient for singleclass classification problems; however, it has limitation of accuracy in multiclass classification problems. To overcome this limitation, this study proposes Simultaneous MTS(S-MTS) expanding the concept of the MTS. In the MTS, a single mahalanobis space of normal group is established; however, several mahalanobis spaces per reference group are established in the S-MTS. To validate the performance of the S-MTS, we applied the MTS and the S-MTS to the iris classification problem that is one of the most commonly used pattern classification problems. As a result, the MTS and S-MTS show 96% and 100% of classification accuracy respectively.

목차

1. 서론

2. S-MTS

3. S-MTS

4. 결론

[참고문헌]