• 제목/요약/키워드: intelligent algorithm

검색결과 3,401건 처리시간 0.043초

소속함수 수정 알고리즘과 ANFIS를 이용한 퍼지논리 제어기의 설계 (Design of FLC using the Membership function modification algorithm and ANFIS)

  • 최완규;이성주
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2001년도 춘계학술대회 학술발표 논문집
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    • pp.43-46
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    • 2001
  • We, in this paper, design the Sugeno-models fuzzy controller by using the membership function modification algorithm and ANFIS, which are clustering and learning the input-output data. The membership function modification algorithm constructs the more concrete fuzzy controller by clustering the input-output data from the fuzzy inference system. ANFIS construct the Sugeno-models fuzzy controller by learning the input-output data from the above controller. We showed that the fuzzy controller designed by our method could have the stable learning and the enhanced performance.

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Hashing을 사용한 Scalable Packet Classification 알고리즘 연구 (Scalable Packet Classification Algorithm through Mashing)

  • 허재성;최린
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(1)
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    • pp.113-116
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    • 2002
  • It is required to network to make more intelligent packet processing and forwarding for increasing bandwidth and various services. Classification provides these intelligent to network which is acquired by increasing number of rules in classification rule set. In this Paper, we propose a classification algorithm efficient to scalable rule set ahead as well as Present small rule set. This algorithm has competition to existing methods by performance and advantage that it is mixed with another algorithm because il does not change original shape of rule set.

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LIBL을 이용한 다이나믹 시스템의 퍼지제어 (Fuzzy Control of Dynamic systems Using LIBL(Linguistic Instruction Based Learning))

  • 조중선;박계각;정경욱;박래석
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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    • pp.139-144
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    • 1995
  • LIBL(Linguistic Instruction Based Leaning) is an effective learning algorithm for fuzzy controller which interpretes and uses natural language of human The possibiliy of the LIBL algorithm to the fuzzy control of dynamic systems is investigated in this paper. Rise time, percent overshoot, and steady stste are proposed as suitable meaning elements for dynamic systems. A supervisor is able to give "higer-level linguistic instruction" to the learning algorithm through these three meaning elements Simulation results for a DC servo motor show the validity of the proposed algorithm.

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Gabor Wavelet과 Genetic Algorithm을 통해 구한 특징점별 가중치를 사용한 얼굴 인식 (Face recognition using Gabor wavelet and Feature weights from Genetic algorithm)

  • 정은성;이필규
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2005년도 한국컴퓨터종합학술대회 논문집 Vol.32 No.1 (B)
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    • pp.835-837
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    • 2005
  • 본 논문에서는 가보 웨이블릿을 통해 얼굴 이미지로부터 특징을 추출하고, 그에 Genetic Algorithm 을 통해 구한 특징점별 가중치를 적용하여 얼굴 인식을 하는 방법을 소개한다. 각 특징점별로 가중치를 적용하는 방법은, 기존의 Gabor wavelet 을 사용한 얼굴 인식 방법들에 비해 높은 인식률을 보인다. 특징점별 가중치들은 진화 알고리즘을 통해 학습 되어진다.

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비 결정론적 최적화 기법을 이용한 선박의 CAE 모델링 자동화를 위한 지능형 에이전트 시스템의 개발 (Development of intelligent agent system for automated ship CAE modelling by non-deterministic optimized methods)

  • 배동명;김학수;신창혁;왕칭
    • 수산해양기술연구
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    • 제44권1호
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    • pp.57-67
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    • 2008
  • Recently, Korean shipbuilding industry is keeping up the position of world wide No. 1 in world shipbuilding market share. It is caused by endless efforts to develope new technologies and methods and fast development of IT technologies in Korea, to raise up its productivities and efficiency in shipbuilding industry with many kinds of optimizing methods including genetic algorithm or artificial life algorithm... etc. In this paper, we have suggested the artificial life algorithm with relay search micro genetic algorithm. and we have improved a defect of simple genetic algorithm for its slow convergence speed and added a variety of solution candidates with applying relay search simple genetic algorithm. Finally, we have developed intelligent agent system for ship CAE modeling. We have tried to offer some conveniences a ship engineer for repeated ship CAE modeling by changing ship design repeatedly and to increase its accuracy of a ship model with it.

근전도 생체 신호를 이용한 지능형 외골격 로봇팔의 구현 (The Implementation of the Intelligent Exoskeleton Robot Arm Using ElectroMiogram(EMG) vital Signal)

  • 전부일;조현찬;전홍태
    • 한국지능시스템학회논문지
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    • 제22권5호
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    • pp.533-539
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    • 2012
  • 본 연구는 사람 팔의 움직임에 따른 신체 발생 신호인 근육의 근전도 데이터를 실시간으로 추출하여 신호 발생에 따른 외골격 로봇 팔의 동작을 통해 제어신호의 유효성을 평가하는데 그 목적이 있다. 지능형 알고리즘에 의해 인간의 인지와 판단의 결과가 팔의 근육을 통해서 제어 가능한 지를 실제 시스템을 구성하여 확인해 보는 것이다. 근육의 수축과 이완에 따른 근전도 센서 데이터는 외골격 로봇 팔을 구동하는 원신호로 사용되며 로봇 구동을 위한 힘을 전달하는 엑츄에이터가 인간의 팔의 동작을 모사한다. 이를 위해 아날로그 필터회로와 관련 회로를 설계하여 신호를 추출하였고 시스템의 동작을 위해 DSP컨트롤러를 통한 신호처리과정을 거친 후 지능 알고리즘을 통한 부하의 정확한 예측을 위한 퍼지 논리 알고리즘의 동작을 표현할 수 있는 외골격 로봇 팔을 제작하였다.

계승적 나이개념을 가진 다목적 진화알고리즘 개발 (The Development of a New Distributed Multiobjective Evolutionary Algorithm with an Inherited Age Concept)

  • 강영훈;변증남
    • 한국지능시스템학회논문지
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    • 제11권8호
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    • pp.689-694
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    • 2001
  • Recently, several promising multiobjective evolutionary algorithm such as SPEA. NSGA-II, PESA, and SPEA2 have been developed. In this paper, we also propose a new multiobjective evolutionary algorithm that compares to them. In the algorithm proposed in this paper, we introduce a novel concept, “inherited age” and total algorithm is executed based on the inherited age concept. Also, we propose a new sharing algorithm, called objective classication sharing algorithm(OCSA) that can preserve the diversity of the population. We will show the superior performance of the proposed algorithm by comparing the proposed algorithm with other promising algorithms for the test functions.

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지능형 PID 제어기 개발에 관한 연구 II (A Study of the Development of an Intelligent PID Cjontroller(II))

  • 유연운;이창구;김성중
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.847-852
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    • 1993
  • In this paper, we present a recursive algorithm for the auto-tuning of PID controllers by optimizing a GPC criterion. Also, we develop an intelligent PID controller by combination of a recursive algorithm together with a supervisor, that allows to adjust the main controller parameters (prediction horizon, control weighting, sample time etc.) using some simple rules which is mainly built up through relay tuning experiments. The intelligent PID controller has been implemented successfully on an IBM PC/AT and some simulation results are presented.

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지능 제어 기법을 이용한 유도탄 자동 조정 장치 설계 (Design of an missile autopilot using intelligent control technique)

  • 김윤식;한웅기;국태용
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.1509-1512
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    • 1996
  • This paper presents an intelligent autopilot for STT missiles with multiple controllers. The mixed H$_{2}$/H$_{\infty}$ control technique is applied for each controller and implemented by using the genetic searching algorithm. To facilitate automatic switching of multiple controllers under different operating conditions, an error based switching scheme is also combined with the multiple controllers at the higher level, which constitutes a hierarchical intelligent control system. It is shown via computer simulation that the proposed autopilot outperforms the conventional one..

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A Proposal of Multimedia Intelligent Database for Medical Diagnosis

  • MODEGI, Toshio;IISAKU, Shun-ichi
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1997년도 Proceedings International Workshop on New Video Media Technology
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    • pp.61-66
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    • 1997
  • For constructing an intelligent multimedia database system for medical diagnosis, we are focusing on two technological points. One is a retrieval algorithm of databases, and the other is a coding algorithm of multimedia contents. For the first, previously we proposed a front-end database preprocessor called“keyword-network”, and in this paper we present its extended model providing an intelligent logical AND searching function especially for medical differential diagnosis. For the second, we present examples of multimedia intellectual coding methods for cardiovascular examination records.

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