Cited 0 time in
과열영역과 포화영역의 증기표에 대한 상태량의 모델링 연구
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이태환 | - |
| dc.contributor.author | 안국찬 | - |
| dc.contributor.author | 박진현 | - |
| dc.date.accessioned | 2022-12-26T19:02:13Z | - |
| dc.date.available | 2022-12-26T19:02:13Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.issn | 1229-604X | - |
| dc.identifier.issn | 2508-3805 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/14059 | - |
| dc.description.abstract | 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. | - |
| dc.format.extent | 7 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | 한국기계기술학회 | - |
| dc.title | 과열영역과 포화영역의 증기표에 대한 상태량의 모델링 연구 | - |
| dc.title.alternative | A Study on the Modelling of the State Variables for Superheated and Saturated Region | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.17958/ksmt.19.4.201708.531 | - |
| dc.identifier.bibliographicCitation | 한국기계기술학회지, v.19, no.4, pp 531 - 537 | - |
| dc.citation.title | 한국기계기술학회지 | - |
| dc.citation.volume | 19 | - |
| dc.citation.number | 4 | - |
| dc.citation.startPage | 531 | - |
| dc.citation.endPage | 537 | - |
| dc.identifier.kciid | ART002250798 | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Saturated region | - |
| dc.subject.keywordAuthor | Superheated region | - |
| dc.subject.keywordAuthor | Neural networks | - |
| dc.subject.keywordAuthor | Spline interpolation method | - |
| dc.subject.keywordAuthor | Lagrange interpolation method | - |
| dc.subject.keywordAuthor | 증기표 | - |
| dc.subject.keywordAuthor | 포화영역 | - |
| dc.subject.keywordAuthor | 과열영역 | - |
| dc.subject.keywordAuthor | 신경회로망 | - |
| dc.subject.keywordAuthor | 스플라인 보간법 | - |
| dc.subject.keywordAuthor | 라그랑지 보간법 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
