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KCI 등재

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
약어 : KSMT
2014 vol.16, no.1, pp.1111 - 1116
DOI : 10.17958/ksmt.16.1.201402.1111
발행기관 : 한국기계기술학회
연구분야 : 기계공학
Copyright © 한국기계기술학회
183 회 열람

The thermodynamic state variables in superheated region of steam table are not wholy obtained bymeasurements. This means that steam table contains a little error. In this study small error was artificiallyadded to superheated variables and modeled using neural networks. The results were compared with theanalysis using quadratic spline interpolation method. By and large the relative errors of variables by neural networks were sufficiently small and similar to orless than those by quadratic spline interpolation method. It was concluded that neural networks could be onegood way of modeling for superheated steam table.

neural network(신경회로망), 스플라인 보간법(spline interpolation method), steam table(증기표), superheated vapor(과열증기)