원문정보
Neural Network Modeling for the Superheated, Saturated and Compressed Region of Steam Table
초록
영어
Steam tables including superheated, saturated and compressed region were simultaneously modeled using the neural networks. Pressure and temperature were used as two inputs for superheated and compressed region. On the other hand Pressure and dryness fraction were two inputs for saturated region. The outputs were specific volume, specific enthalpy and specific entropy. The neural network model were compared with the linear interpolation model in terms of the percentage relative errors. The criterion of judgement was selected with the percentage relative error of 1%. In conclusion the neural networks showed better results than the interpolation method for all data of superheated and compressed regio
목차
1. 서론
2. 해석
2.1 상태량(state variable)
2.2 신경회로망(neural networks)
2.3 보간법(interpolation method)
3. 결과 및 검토
4. 결론
후기
References