| 유전 알고리즘을 이용한 비선형 시스템의 최적 신경 회로망 구조에 관한 연구 |
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김홍복, 김정근, 김민정, 황승욱 |
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| A Study on Optimal Neural Network Structure of Nonlinear System using Genetic Algorithm |
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Hong. Bok. Kim, Jeong. Keun. Kim, Min. Jung. Kim, Seung. Wook. Hwang |
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| Abstract |
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This paper deals with a nonlinear system modelling using neural network and genetic algorithm. Application of neural network to control and identification is actively studied because of their approximating ability of nonlinear function. It is important to design the neural network with optimal structure for minimum error and fast response time. Genetic algorithm is getting more popular nowadays because of their simplicity and robustness. In this paper, we optimized a neural network structure using genetic algorithm. The genetic algorithm uses binary coding for neural network structure and searches for an optimal neural network structure of minimum error and fast response time. Through an extensive simulation. the optimal neural network structure is shown to be effective for identification of nonlinear system. |
| Key Words:
Nonlinear system;Neural network;Genetic algorithm;System identification |
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