지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.10
- 수록면
- 1,462 - 1,465 (4page)
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초록· 키워드
오류제보하기
Taught systems such as artificial neural network (ANN) can be used for data interpretation of electric logging. Using only the ANN algorithm gives the result of coincidence between interpretable data and experimental results in certain samplings from 66% to 73%. But using additional algorithms of recognition and comparing the results of recognition could enhance quality of recognition by 1-3%. The problem of building recognition system by ensemble of classification algorithms was formulated.
The paper describes the recognition algorithms which used in research, results of recognition and the process of construction of Recognition System.
The paper describes the recognition algorithms which used in research, results of recognition and the process of construction of Recognition System.
목차
Abstract
1. INTRODUCTION
2. ELECTRIC LOGGING DATA INTERPRETATION
3. CONSTRUCTION OF RECOGNITION SYSTEM
4. CONCLUSION
References
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