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Fuzzy systems, neural networks and genetic algorithms

  • Lee, Hyung-Kwang;Lee, Jee-Hyong
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10b
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    • pp.327-332
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    • 1999
  • Fuzzy systems, neural networks and genetic algorithms have different origins and thus have differently developed their own unique characteristics. These characteristics can be used as a good complement to the others. Therefore, many researches have been devoted to not only these techniques but also fusion of them. This paper briefly summarizes these three techniques and surveys the researches on fusion of them.

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A Study on the Relationship between Properties of the Elliptic Curves and Performance of Elliptic Curve Method (ECM)

  • Jizhe Cui;Shin, Seung-won;Park, Jong-Uk
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2000.04a
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    • pp.475-478
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    • 2000
  • Recently encryption algorithms based on difficulties of factorization have been used with popularization. Prime number factorizations are progressed rapidly. In this paper, characteristics of elliptic curve are analyzed and generation of elliptic curves suitable for prime number factorization is discussed.

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A Feasibility Study on Application of International Standard Data Modeling Methodology to Nuclear Power Plant Systems (국제 표준 데이터 모델링 방법론의 원자력 발전소 시스템에의 적용 가능성 연구)

  • Kim, Hyoung-Jean;Park, Ho-Byung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.547-549
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    • 2007
  • 원자력 발전소의 원자로 냉각 시스템을 대상으로 국제 표준 데이터 모델링 방법과 기존의 현업에서 사용되는 Project Numbering System 기반의 데이터 모델링 방법을 사용하여 시스템 모델링을 수행하였고 비교 분석하였다. 국제 표준 중심의 시스템 모델을 채택하여 활용한다면 향후 전력 분야 정보 시스템 및 데이터간의 상호 운영성과 데이터 공유 및 교환 문제를 해결할 수 있고 이에 따른 막대한 경비 절감을 기대할 수 있다.

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Survey on S&T Trend Information Service in Korea and Abroad (국내.외 과학기술 동향정보 제공 서비스 실태 조사)

  • 최성배;오규연;한선화
    • Proceedings of the Korea Contents Association Conference
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    • 2004.05a
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    • pp.503-512
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    • 2004
  • The most important virtue that S&T information should possess is the promptness. In the era of global competition, it is very important to catch the technical trends and R&D policy of advanced countries in time. In this paper, we surveyed S&T trends information service in advanced and competing countries including USA, Japan, European countries, and china. Based on the survey result, we show that the "Overseas S&T Trends Information Service" provided by KISTI is dominant to those of other countries

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A Review of Artificial Intelligence Models in Business Classification

  • Han, In-goo;Kwon, Young-sig;Jo, Hong-kyu
    • Journal of Intelligence and Information Systems
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    • v.1 no.1
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    • pp.23-41
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    • 1995
  • Business researchers have traditionally used statistical techniques for classification. In late 1980's, inductive learning started to be used for business classification. Recently, neural network began to be a, pp.ied for business classification. This study reviews the business classification studies, identifies a neural network a, pp.oach as the most powerful classification tool, and discusses the problems and issues in neural network a, pp.ications.

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