The state variables of saturated and superheated region in the steam table were simultaneously modeled using the neural networks. And the results were compared with quadratic spline interpolation and Lagrange interpolation. Two input data without distinguishing parameter were used in the neural networks. For comparison, quadratic spline interpolation method for superheated region and Lagrange interpolation method for saturated region were applied. The overall results revealed that the neural networks were greatly superior to quadratic interpolation method or Lagrange interpolation method.
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ABSTRACT 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