노이즈가 포함된 과열증기표의 모델링에 신경회로망 적용 타당성에 대한 연구 A feasibility study on the neural network modeling of the noise-added superheated steam table
한국기계기술학회지
(韓國機械技術學會誌)
제16권 제1호
(2014.02)
pp.1111-1116
pp.1111-1116
한국기계기술학회
(Korean Society of Mechanical Technology)
초록
The thermodynamic state variables in superheated region of steam table are not wholy obtained by measurements. This means that steam table contains a little error. In this study small error was artificially added to superheated variables and modeled using neural networks. The results were compared with the analysis using quadratic spline interpolation method. By and large the relative errors of variables by neural networks were sufficiently small and similar to or less than those by quadratic spline interpolation method. It was concluded that neural networks could be one good way of modeling for superheated steam table.
목차
Abstract
1. 서론
2. 해석
2.1 해석 방법
2.2 노이즈(noise)
2.3 상태량 선정
3. 결과 및 검토
4. 결론
후기
References
1. 서론
2. 해석
2.1 해석 방법
2.2 노이즈(noise)
2.3 상태량 선정
3. 결과 및 검토
4. 결론
후기
References
저자