A Study on the Multi-Level Artificial Neural Networks Using Genetic Algorithm for Preliminary Structural Design

예비 구조설계를 위한 유전알고리즘을 이용한 다단계 인공신경망에 관한 연구

  • 최병한 (전북대학교 부설 공학연구원 공업기술센타, 호원대학교 건축.토목공학부)
  • Received : 2004.06.15
  • Accepted : 2004.07.26
  • Published : 2004.08.27


Recently, the Artificial Neural Network(ANN) which can organize complex non-linear problems by effectively applying the parallel computational model that is similar to the human brain, was adopted in the wide department of technology and resulted in many successful applications. In this study, a more appropriate formal method is suggested for the preliminary structural design stage controlled merely by the designer's experience and intuition. To do so, this study proposes a multi-level ANN according to the general progressive structural design procedure, using Back-Propagation Algorithm (BP) and Genetic Algorithm (GA) for the ANN learning. The preliminary structural design of cable-stayed bridges was applied to illustrate the applicability of the study formulated as stated above, and the results of two different learning methods were compared.


Supported by : 전북대학교


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