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시계열 자료 코스피200의 패턴분류를 위한 퍼지 서포트 벡타기계
이수용(S.Y. Lee),손소영(S.Y. Sohn),김철응(C.E. Kim),이일병(Y.B. Lee) 한국지능시스템학회 2004 한국지능시스템학회논문지 Vol.14 No.1
주식시장에서 KOSPI200지수의 상승 또는 하락으로 분류 및 예측하는 정보는 선물 및 옵션시장에서 포토폴리오를 설계할때 의사결정을 위해 중요한 기준이 된다. 경제지표인 시계열 패턴들의 향후 추세는 가장 최근의 경제패턴에 매우 종속적이기 때문에 최근의 패턴들을 가장 우선적으로 학습해야 할 필요가 있다. 본 논문에서는 시계열분석, 신경회로망, 그리고 다양한 분야에서 각광을 받고 있는 SVM(Support Vector Machine)과 Fuzzy SVM 모형의 분류 및 예측성능을 비교하였다. 특히 학습 DB에 따라 시계열성 속성을 갖는 퍼지소속함수에 가장 적합한 차원을 제시함으로서 Fuzzy SVM이 우수함을 입증하였다. The Information of classification and estimate about KOSPI200 index's up and down in the stock market becomes an important standard of decision-making in designing portofolio in futures and option market. Because the coming trend of time series patterns, an economic indicator, is very subordinate to the most recent economic pattern, it is necessary to study the recent patterns most preferentially. This paper compares classification and estimated performance of SVM(Support Vector Machine) and Fuzzy SVM model that are getting into the spotlight in time series analyses, neural net models and various fields. Specially, it proves that Fuzzy SVM is superior by presenting the most suitable dimension to fuzzy membership function that has time series attribute in accordance with learning Data Base.
이강엽(K. Y. Lee),김형모(H. M. Kim),한영민(Y. M. Han),이수용(S. Y. Lee) 한국전산유체공학회 2002 한국전산유체공학회지 Vol.7 No.3
Most of modern aerospace gas turbines must be operated at a gas temperature which is several hundreds of degrees higher than the melting temperatures of the materials used in their construction. Complicated cooling schemes need to be employed in the combustor walls and in the high pressure turbine stages. Internal passages are cast or machined into the hot sections of aero-gas turbine engines and air from the compressor is used for cooling. In many cases, the cooling system is engineered to utilize jets of high velocity air, which impinge on the internal surfaces of the components. They are categorized as 'Impinging Cooling Method' and 'Vortex Cooling Method'. Specially, research of new cooling system(Vortex Cooling Method) that overcomes inefficiency of film cooling and limitation of space. The focus of new cooling system that improves greatly cooling efficiency using less amount of cooling air on surface heat transfer elevation. Therefore, in this study, a numerical analysis has been performed for characteristics of flow and heat transfer in the swirl chamber and compared with the flow measurements by LDV. Especially, for understanding high heat transfer efficiency in the vicinity of wall, we considered flow structure, vortex mechanism and heat transfer characteristics with variation of the Reynolds number.