An Experimental Study on the Verification of Prediction System of Concrete Strength Using Artificial Neural Networks

인공신경망을 이용한 강도추정 시스템의 검증에 관한 실험적 연구

  • 송민섭 (충남대학교 대학원 건축공학과) ;
  • 박종호 (충남대학교 대학원 건축공학과) ;
  • 김갑수 (충남대학교 대학원 건축공학과) ;
  • 장종호 (충남대학교 대학원 건축공학과) ;
  • 임재홍 (현대산업개발(주) 기술연구소) ;
  • 김무한 (충남대학교 건축공학과)
  • Published : 2004.05.01

Abstract

Traditional prediction models have been developed with a fixed equation from based on the limited number of data and parameters. If new data is quite different from original data, then the model should update not only its coefficients but also its equation form. However, artificial neural network dose not need a specific equation form. Instead of that, it needs enough input-output data. Also, it can continuously re-train the new data, so that it can conveniently adapt to new data. Therefore, the purpose of this study is to verify faith and application of prediction system of concrete strength using artificial neural networks through mock-up test.

Keywords