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신경회로망을 사용한 증기표 전체 영역의 모델링

원문정보

Modelling for the Full Ranges of the Steam Table using Neural Networks

이태환, 박진현

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

Simultaneous modelling was carried out using the neural networks with three inputs including a distinguishing variable for the steam table. It covered whole steam tables including the compressed, saturated and superheated region of water. And relative errors of the thermodynamic properties such as specific volume, enthalpy, entropy were compared using the neural networks and the linear interpolation method. As a result of the analysis, The neural networks has proven to be powerful in modeling the steam table because it has slightly better results than the interpolation method.

목차

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

저자정보

  • 이태환 Tae-Hwan Lee. Mechatronics Eng., Gyeongnam Nat‘l Univ. of Science and Technology
  • 박진현 Jin-Hyun Park. Member, Mechatronics Eng., Gyeongnam Nat‘l Univ. of Science and Technology

참고문헌

자료제공 : 네이버학술정보

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