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 region and specific volume of saturated region, but similar for specific enthalpy and entropy of saturated region.

ABSTRACT
 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
 References

• 박진현(Gyeongnam Nat‘l Univ. of Science and Technology) | Jin-Hyun Park Corresponding Author
• 이태환(Gyeongnam Nat‘l Univ. of Science and Technology) | Tae-Hwan Lee