• Title, Summary, Keyword: self-organizing system

Search Result 278, Processing Time 0.04 seconds

Self-Organizing Fuzzy Systems with Rule Pruning (규칙 제거 기능이 있는 자기구성 퍼지 시스템)

  • Lee, Chang-Wook;Lee, Pyeong-Gi
    • Journal of the Korean Society of Industry Convergence
    • /
    • v.6 no.1
    • /
    • pp.37-42
    • /
    • 2003
  • In this paper a self-organizing fuzzy system with rule pruning is proposed. A conventional self-organizing fuzzy system having only rule generation has a drawback in generating many slightly different rules from the existing rules which results in increased computation time and slowly learning. The proposed self-organizing fuzzy system generates fuzzy rules based on input-output data and prunes redundant rules which are caused by parameter training. The proposed system has a simple structure but performs almost equivalent function to the conventional self-organizing fuzzy system. Also, this system has better learning speed than the conventional system. Simulation results on several numerical examples demonstrate the performance of the proposed system.

  • PDF

A Simulation of "Self-Organizing Fuzzy Controller" for a Dynamic System under Irregular Disturbance (확률론적 가진을 받는 동적계에 대한 자기구성 퍼지제어기의 구현)

  • Yeo, Woon-Joo;Oh, Yong-Sul;Jung, Quen-Yong;Heo, Hoon
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
    • /
    • /
    • pp.1058-1062
    • /
    • 2003
  • This paper proposes a self-organizing fuzzy controller (SOFC) design technique applied to the vibration control of a dynamic system under irregular disturbance. In this controller, the fuzzy rules generate control signal continuously using the array of input and output pairs without using any special controller model. The generated rules are saved in the fuzzy rule matrix in real-time by self-organizing methods. This fuzzy logic control is demonstrated by simulation and shows the efficiency of the real-time self-organizing fuzzy controller in this system.

  • PDF

Design of Reinforcement Learning Controller with Self-Organizing Map (자기 조직화 맵을 이용한 강화학습 제어기 설계)

  • 이재강;김일환
    • The Transactions of the Korean Institute of Electrical Engineers D
    • /
    • v.53 no.5
    • /
    • pp.353-360
    • /
    • 2004
  • This paper considers reinforcement learning control with the self-organizing map. Reinforcement learning uses the observable states of objective system and signals from interaction of the system and environment as input data. For fast learning in neural network training, it is necessary to reduce learning data. In this paper, we use the self-organizing map to partition the observable states. Partitioning states reduces the number of learning data which is used for training neural networks. And neural dynamic programming design method is used for the controller. For evaluating the designed reinforcement learning controller, an inverted pendulum on the cart system is simulated. The designed controller is composed of serial connection of self-organizing map and two Multi-layer Feed-Forward Neural Networks.

Learning Control of Inverted Pendulum Using Neural Networks (신경회로망을 이용한 도립전자의 학습제어)

  • Lee, Jea-Kang;Kim, Il-Hwan
    • Journal of Industrial Technology
    • /
    • v.24 no.A
    • /
    • pp.99-107
    • /
    • 2004
  • This paper considers reinforcement learning control with the self-organizing map. Reinforcement learning uses the observable states of objective system and signals from interaction of the system and the environments as input data. For fast learning in neural network training, it is necessary to reduce learning data. In this paper, we use the self-organizing map to parition the observable states. Partitioning states reduces the number of learning data which is used for training neural networks. And neural dynamic programming design method is used for the controller. For evaluating the designed reinforcement learning controller, an inverted pendulum of the cart system is simulated. The designed controller is composed of serial connection of self-organizing map and two Multi-layer Feed-Forward Neural Networks.

  • PDF

Application of self organizing genetic algorithm

  • Jeong, Il-Kwon;Lee, Ju-Jang
    • 제어로봇시스템학회:학술대회논문집
    • /
    • /
    • pp.18-21
    • /
    • 1995
  • In this paper we describe a new method for multimodal function optimization using genetic algorithms(GAs). We propose adaptation rules for GA parameters such as population size, crossover probability and mutation probability. In the self organizing genetic algorithm(SOGA), SOGA parameters change according to the adaptation rules. Thus, we do not have to set the parameters manually. We discuss about SOGA and those of other approaches for adapting operator probabilities in GAs. The validity of the proposed algorithm will be verified in a simulation example of system identification.

  • PDF

Intelligent Agent System by Self Organizing Neural Network

  • Cho, Young-Im
    • 제어로봇시스템학회:학술대회논문집
    • /
    • /
    • pp.1468-1473
    • /
    • 2005
  • In this paper, I proposed the INTelligent Agent System by Kohonen's Self Organizing Neural Network (INTAS). INTAS creates each user's profile from the information. Based on it, learning community grouping suitable to each individual is automatically executed by using unsupervised learning algorithm. In INTAS, grouping and learning are automatically performed on real time by multiagents, regardless of the number of learners. A new framework has been proposed to generate multiagents, and it is a feature that efficient multiagents can be executed by proposing a new negotiation mode between multiagents..

  • PDF

Marine Self-organizing VHF Data Link: Operational Principle

  • Sun, Wen-Li;Pang, Fu-Wen;Hong, Tchang-Hee
    • Journal of the Korean Institute of Navigation
    • /
    • v.22 no.4
    • /
    • pp.21-29
    • /
    • 1998
  • The marine self-organizing VHF data link is a digital radio link with self-organizing ability, which exploits the STDMA algorithm and operates in marine VHF channels. It can support the applications of surveillance, situation awareness and communication. It is the core technology of the Universal AIS which is considered as a future surveillance system at sea by the IMO. In this paper, the operational principle of the marine self-organizing VHF data link is introduced. Simultaneously, a new access protocol is proposed to enhance the marine self-organizing VHF data link so as to support point-to-point communication. The point-to-point communication is one of the most important bases to establish dynamic internetworks among computers on the bridges in the future.

  • PDF

Competitive Benchmarking in Large Data Bases Using Self-Organizing Maps

  • 이영찬
    • Proceedings of the Korea Inteligent Information System Society Conference
    • /
    • /
    • pp.303-311
    • /
    • 1999
  • The amount of financial information in today's sophisticated large data bases is huge and makes comparisons between company performance difficult or at least very time consuming. The purpose of this paper is to investigate whether neural networks in the form of self-organizing maps can be used to manage the complexity in large data bases. This paper structures and analyzes accounting numbers in a large data base over several time periods. By using self-organizing maps, we overcome the problems associated with finding the appropriate underlying distribution and the functional form of the underlying data in the structuring task that is often encountered, for example, when using cluster analysis. The method chosen also offers a way of visualizing the results. The data base in this study consists of annual reports of more than 80 Korean companies with data from the year 1998.

  • PDF

A method to construct self organizing system in robotic application

  • Noda, Hiroshi;Hashimoto, Hideki;Harashima, Fumio
    • 제어로봇시스템학회:학술대회논문집
    • /
    • /
    • pp.1022-1027
    • /
    • 1988
  • The author propose a method to realize a self organization in the artificial system. In self organizing system, sub-systems are not constructed as functional parts of the system but cooperate with one another to realize the total system. Each sub-system obtains the local purpose from the global purpose by learning. This function is realized by using a neural network. The validity of this method is confirmed by some simulations.

  • PDF

Adaptive Control of Super Peer Ration using Particle Swarm Optimization in Self-Organizing Super Peer Ring Search Scheme (자기 조직적 우수 피어 링 검색기법에서 입자 군집 최적화(PSO)를 이용한 적응적 우수 피어 비율 조절 기법)

  • Jang, Hyung-Gun;Han, Sae-Young;Park, Sung-Yong
    • The KIPS Transactions:PartA
    • /
    • v.13A no.6
    • /
    • pp.501-510
    • /
    • 2006
  • The self-organizing super peer ring P2P search scheme improves search performance of the existing unstructured peer-to-peer systems, in which super peers with high capacity constitute a ring structure and all peer in the system utilize the ring for publishing or querying their keys. In this paper, we further improves the performance of the self-organizing ring by adaptively changing its super peer ratio according to the status of the entire system. By using PSO, the optimized super peer ratio can be maintained within the system. Through simulations, we show that our self-organizing super peer ring optimized by PSO outperforms not only the fixed super peer ring but also the self-organizing super ring with fixed ratio in the aspect of query success rate.