역전파 알고리즘(BP)을 이용한 대지저항률 추정 방법에 관한 연구
- Authors
- 류보혁; 위원석; 김정훈
- Issue Date
- 2002
- Publisher
- 대한전기학회
- Keywords
- Earth; grounding; Soil-resistivity; Backpropagation neural network(BP); Earth parameter; Wenner' s configuration; Earth; grounding; Soil-resistivity; Backpropagation neural network(BP); Earth parameter; Wenner' s configuration
- Citation
- 전기학회논문지 A권, v.51, no.2, pp.76 - 82
- Journal Title
- 전기학회논문지 A권
- Volume
- 51
- Number
- 2
- Start Page
- 76
- End Page
- 82
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/27099
- ISSN
- 1229-2443
- Abstract
- - This paper presents the method of soil-resistivity estimation using the backpropagation(BP) neural network. Existing estimation programs are expensive, and their estimation methods need complex techniques and take much time. Also, those programs have not become well spreaded in Korea yet. Soil resistivity estimation method using BP algorithm has studied for the reason mentioned above. This paper suggests the method which differs from expensive program or graphic technology requiring many input stages, complicated calculation and professional knowledge. The equivalent earth resistivity can be presented immediately after inputting apparent resistivity through the personal computer with a simplified program without many processing stages. This program has the advantages of reasonable accuracy, rapid processing time and confident of any users.
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Collections - College of Engineering > School of Electronic & Electrical Engineering > 1. Journal Articles
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