On Development the Stable Learning Algorithm for Recurrent Neural Network Control System

귀환 신경망의 안정적 학습 알고리듬 개발

  • 연정흠 (중앙대학교 전자공학과) ;
  • 원경재 (중앙대학교 전자공학과) ;
  • 정일훈 (중앙대학교 전자공학과) ;
  • 진흥태 (중앙대학교 전자공학과)
  • Published : 1997.08.01

Abstract

One of major research areas in the recurrent neural network is to develop stable learning algorithm. In this paper, the stable learning algorithm is developed by utilizing the evolutionary programming. The effectiveness of the proposed learning algorithm will be verified by simulating two d.0.f. robot manipulator.

비선형 동적 시스템을 제어하기에 적합한 귀한 신경망에 대한 주요한 연구중의 하나는 안정적인 학습 알고리듬을 개발하는 것이다. 본 논문에서는 진화 연산 알고리듬을 이용한 안정작인 귀환 신경망의 학습 알고리듬을 개발한다. 또한 개발한 학습 알고리듬을 사용한 귀환 신경망을 전형적인 비선형 동적 시스템인 로보트 매니퓰레이터의 제어 시스템에 적용하고 개발한 제어 알고리듬의 효용성을 입증한다.

Keywords

References

  1. IEEE Control Syst. Mag. Hierarchical Neural Network Model for Voluntary Movement with Application to Robotics M. Kawato;Y. Uno;M. Isobe;R. Suzuki
  2. IEEE Control Syst. Mag. Mobile Robot Control by a Structured Hierarchical Neural Network S. Nagata;M. sekiguchi;K. Asakawa
  3. Nueral Networks for Control Jeffery L.Elman
  4. IEEE Trans on Neural Networks v.1 no.1 Identification and Cintrol of Dynamical System Using Neural Networks K.S.Narendra;K.Patharathy
  5. IEEE Trans. on SMC v.22 Neural Network Controller Characteristics with regard to Adaptive Control T. Yabuta;T. Yamada
  6. Neural Networks A Comprehensive Foundation S.Haykin
  7. Gradient Method fot the Optimization of Dynimical Systems Containing Neural Networks
  8. IEEE Trans on Neural Networks
  9. Adaptive Control of Unknown Plants Using Dynamical Neural Networks
  10. Learning to Solve Random-Dot Stereograms of Dense Transparent Surfaces with Recurrent Backpropragation
  11. On the Stability, Storage Capacity, and Design of Nonlinear Continuous Neural
  12. v.Ⅱ Dynamics adn Stability of Multilayered Recurrent Neural Networks Liang Jin;Peter N.;Nikiforuk;Madan M.Gupta
  13. Recurrent Backpropagation and the Dynamical Approach to Adaptive Neural Computation
  14. lL.B.Almeida
  15. A Real Time Reis
  16. Learning Process
  17. Learning Process Analog Neural
  18. A Real Time Reis
  19. Slidong Modes and Their Application in Variable Structure System
  20. Sliding Modes in Control Optimazation
  21. Control Systems pf Variable Structures John
  22. Learning Interal Representations by Error Propagation
  23. Stability Conditions for Nonlinear Continuois Neural Networks with Asymmetric Connection Weighs
  24. Controller Design for a Manipulator Using Theory of Variablke Structile System
  25. Application of game theory to the sensitivity design og optimal system1967-00-00
  26. Equation of sliding mode in discontinuous systemsⅠⅡ Utkin. V.I.
  27. Equlian Brituas
  28. Controller Design for a Manipulator Using Theory of Variablke Structile System
  29. Jay Man