신경회로망을 사용한 포화 및 과열 증기표의 동시 모델링
(주)코리아스칼라
- 최초 등록일
- 2016.04.02
- 최종 저작일
- 2014.12
- 9페이지/ 어도비 PDF
- 가격 4,000원
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서지정보
ㆍ발행기관 : 한국기계기술학회
ㆍ수록지정보 : 한국기계기술학회지 / 16권 / 6호
ㆍ저자명 : 이태환, 박진현
목차
Abstract
1. 서론
2. 해석
2.1 상태량 선정
2.2 신경회로망(neural networks)
2.3 스플라인 보간(spline interpolation)
3. 결과 및 검토
4. 결론
후기
References
영어 초록
The steam table in saturated and superheated region was modeled simultaneously using the neural networks. A variable was introduced to distinguish between the saturation and the superheat. The relative errors were compared with the quadratic spline interpolation method. The relative errors by the neural networks were superior to those by the quadratic spline interpolation method over almost all ranges of temperatures and properties. The overall errors in the saturated region were better than those in the superheated region. From the analysis, it was confirmed that the neural networks could be a very powerful tool for simultaneous modeling of superheated and saturated steam table
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