earticle

논문검색

〈학술연구〉

노이즈가 포함된 과열증기표의 모델링에 신경회로망 적용 타당성에 대한 연구

원문정보

A feasibility study on the neural network modeling of the noise-added superheated steam table

이태환, 박진현

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

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

목차

Abstract
 1. 서론
 2. 해석
  2.1 해석 방법
  2.2 노이즈(noise)
  2.3 상태량 선정
 3. 결과 및 검토
 4. 결론
 후기
 References

저자정보

  • 이태환 Lee Tae-Hwan. 경남과학기술대학교 메카트로닉스공학과
  • 박진현 Park Jin-Hyun. 경남과학기술대학교 메카트로닉스공학과

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,000원

      0개의 논문이 장바구니에 담겼습니다.