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신경회로망을 사용한 증기표 전체 영역의 모델링 KCI 등재
Modelling for the Full Ranges of the Steam Table using Neural Networks
이태환, 박진현
- 언어KOR
- URLhttps://db.koreascholar.com/Article/Detail/344158
4,000원
한국기계항공기술학회지(구 한국기계기술학회지)
(Journal of the Korean Society of Mechanical and Aviation Technology)
제20권 제1호 (2018.02)
pp.82-89
pp.82-89
한국기계항공기술학회(구 한국기계기술학회)
(Korean Society of Mechanical Technology)
초록
Simultaneous modelling was carried out using the neural networks with three inputs including a distinguishing variable for the steam table. It covered whole steam tables including the compressed, saturated and superheated region of water. And relative errors of the thermodynamic properties such as specific volume, enthalpy, entropy were compared using the neural networks and the linear interpolation method. As a result of the analysis, The neural networks has proven to be powerful in modeling the steam table because it has slightly better results than the interpolation method.
키워드
Steam table(증기표)Neural networks(신경회로망)Compressed region(압축영역)Saturated region(포화영역)Superheated region(과열영역)Interpolation method(보간법)
목차
1. 서 론
2. 해 석
2.1 상태량(state variable)
2.2 신경회로망(neural networks)
2.3(보간법 interpolation method)
3. 결과 및 검토
4. 결 론
후 기
References
2. 해 석
2.1 상태량(state variable)
2.2 신경회로망(neural networks)
2.3(보간법 interpolation method)
3. 결과 및 검토
4. 결 론
후 기
References
저자
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