한국해양대학교

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유전알고리즘을 이용한 신경회로망 기반 시스템 식별기의 최적화 설계 및 응용에 관한 연구

Title
유전알고리즘을 이용한 신경회로망 기반 시스템 식별기의 최적화 설계 및 응용에 관한 연구
Alternative Title
A Study on the Optimal Design and Application of a System Identifier Based on Neural Networks Using Genetic Algorithms
Author(s)
金洪福
Publication Year
2002
Publisher
한국해양대학교
URI
http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002173973
http://repository.kmou.ac.kr/handle/2014.oak/9896
Abstract
This paper deals with nonlinear system modelling using neural networks and genetic algorithms.


Applications of neural networks to control and identification have been actively studied because of their approximating ability of nonlinear functions. It is important to design the neural network which has optimal structure for minimum error and fast response time. Nowadays, genetic algorithms have been getting more popular because of their simplicity and robustness.


In this paper, We optimize neural network structure using a genetic algorithms. The genetic algorithm uses binary coded chromosomes for neural network structure and searches for an optimal neural network structure of minimizing error and fast response time. Through extensive simulation and practical tests, It is verified that the proposed method is effective for identification of nonlinear system.
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제어계측공학과 > Thesis
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