Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1995.07b
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- Pages.804-806
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- 1995
Self-Organized Ditributed Networks as Identifier of Nonlinear Systems
비선형 시스템 식별기로서의 자율분산 신경망
- Choi, Jong-Soo (R&D Center, POSCON CO.) ;
- Kim, Hyong-Suk (Dept. of Control & Instrumentation Eng. Cbonbuk Nat'l University) ;
- Kim, Sung-Joong (Dept. of Control & Instrumentation Eng. Cbonbuk Nat'l University) ;
- Choi, Chang-Ho (R&D Center, POSCON CO.)
- Published : 1995.07.20
Abstract
This paper discusses Self-organized Distributed Networks(SODN) as identifier of nonlinear dynamical systems. The structure of system identification employs series-parallel model. The identification procedure is based on a discrete-time formulation. The learning with the proposed SODN is fast and precise. Such properties arc caused from the local learning mechanism. Each local networks learns only data in a subregion. Large number of memory requirements and low generalization capability for the untrained region, which are drawbacks of conventional local network learning, are overcomed in the SODN. Through extensive simulation, SODN is shown to be effective for identification of nonlinear dynamical systems.
Keywords