A Study on the Estimation of Earth Resistivity using Backpropagation Algorithm

역전파알고리즘을 이용한 대피저항율추정에 관한 연구

  • 박경열 (홍익대학교 전기제어공학과) ;
  • 유보혁 (홍익대학교 전기제어공학과) ;
  • 석진욱 (홍익대학교 전기제어공학과) ;
  • 최종기 (한국전력공사전력연구원) ;
  • 정길조 (한국전력공사전력연구원) ;
  • 김정훈 (홍익대학교 전기제어공학과)
  • Published : 1997.11.29

Abstract

In this paper, we present a useful method of estimating earth resistivity using BP algorithm in Neural-Networks. From this method, equivalent earth resistivity(EER) can be obtained directly using training data composed of field-measured apparent resistivity and probe distance. This approach can reduce errors which is conventionally raised from manual operation of calculating EER. To evaluate its accuracy and convenience, the result of proposed method is compared to that of conventional methods, graphical($\rho$-a graph) and numerical(CDEGS program), respectively.

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