최적 구조 신경 회로망을 이용한 선박용 안정화 위성 안테나 시스템의 모델링 |
김민정, 황승욱 |
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Modelling of a Shipboard Stabilized Satellite Antenna system Using an Optimal Neural Network Structure |
Min. Jung. Kim, Seung. Wook. Hwang |
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Abstract |
This paper deals with modelling and identification of a shipboard stabilized satellite antenna system using the optimal neural network structure. It is difficult for shipboard satellite antenna system to control and identification because of their approximating ability of nonlinear function. So it is important to design the neural network structure using genetic algorithm is optimized. And genetic algorithm is also used for identifying a shipboard satellite antenna system. It is noticed that the optimal neural network structure actually describes the real movement of ship well. Through practical test, the optimal neural network structure is shown to be effective for modelling the shipboard satellite antenna system. |
Key Words:
Shipboard satellite antenna system;Optimal neural network structure;System identification |