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유전적 프로그래밍을 이용한 응답면의 모델링 I : 방향도함수 기반의 Smoothering 기법
연윤석,이욱,Yeun, Yun-Seog,Rhee, Wook 한국정보기술응용학회 2001 정보기술응용연구 Vol.3 No.3
This paper introduces the genetic programming algorithm(GP), which can approximate highly nonlinear functions, as a tool for the modeling of response surfaces. When the response surfaces is approximated, the very small or minimal teaming set should be used, and thus it is almost certain that GP trees will show overfilling that must be avoided at all costs. We present a novel method, calledDDBS(DirectionalDerivative-Based Smoothering), which very effectively eliminates the unwanted behaviors of GP trees such as large peaks, oscillations, and also overfitting. Four illustrative numerical examples are given to demonstrate the performance of the genetic programming algorithm that adopts DDBS.
연윤석 대진대학교 생산기술연구소 1998 생산기술연구소 논문집 Vol.1 No.-
This paper deals with smooth fitting of data corrupt by noise. Most research efforts have been concentrated on employing the smoothness penalty function with the stimation of its optimal parameter in order to avoid the "overfitting and underfitting "dilemma in noisy data fitting problems. My approach, called DBSF(Differentiation-Based Smooth Fitting), is different from the above-mentioned method. The amin idea is that optimal functions approximately estimating the derivative of noisy data are generated first using genetic programming, and then their integral values are evaluated and used to recover original data. To show the effectiveness of this approach, DBSP is demonstrated by presenting two illustrative examples and the application of estimating the principal dimensions of bulk carog ships in the conceptual design stage.
Complex Object 기반의 지식표현 및 추론 기법에 대한 연구
연윤석 대진대학교 1994 大眞論叢 Vol.2 No.-
In development of the knowledge-based system for design of large scale structural system such as ships, bridges and buildings, it must be considered following. First, the design objects are very complex and large. So there are many physical elements that constitute structural system and very complex inter-relationships exist in these elements, Second, since the most repositories of expertise are in form of the documents like design codes, design standards and rules of the classification societies, moreover these documents are revised and updated periodically, it is necessary that knowledge base for these documents exists independently on other portions of knowledge bases for the good maintenance. Hence in this paper, 1) Model of object-oriented knowledge representation, which is based on complex object and newly introduced concept of hypothesis-object and nonhypothesis-object, is developed to efficiently model complex design objects and documents. 2) A new reasoning method CORE(Comp1ex Object-based Reasoning) is developed to facilitate the features of this model of knowledge representation. 3) Finally knowledge representation language COBL(Complex Object-Based Language), which is designed to fully support this model of knowledge representation, is presented.
대형 구조물 설계를 위한 지식베이스 시스템 쉘의 개발 및 응용
연윤석 대진대학교 1994 大眞論叢 Vol.2 No.-
A complex object-based knowledge representation is very effective to develop the knowledge bases for the design of large scale structural system, and a CORE(Complex Object-based Reasoning) which fully supports the features of this knowledge representation, is flexible reasoning method and has many advantages for visualization of its reasoning process. But there is no knowledge-based system tool that supports a complex object-based knowledge representation and a CORE. Hence, in this study 1) the knowledge-based system shell, KSED.1 that has inference mechanism utilizes a CORE, and allows the use of a complex object-based knowledge representation, is developed. 2) Also the systematic method for development of knowledge base IS presented. 3) Finally to demonstrate applicability of KSED 1, the knowledge-based system for design of midship-section of Bulk carrier is implemented and its results are discussed.