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인공신경망을 활용한 비위생 매립장 폐기물 특성 평가

Title
인공신경망을 활용한 비위생 매립장 폐기물 특성 평가
Other Titles
Evaluation of Unsanitary Landfill Waste Characteristics using the Artificial Neural Network
Author
박재우
Keywords
공학; 토목역학; 토목재료; Unsanitary landfill; Artificial neural network; Waste characteristics; Engineering
Issue Date
2014-09
Publisher
한국지반환경공학회
Citation
한국지반환경공학회 학술발표회논문집, 2014, 2014(9), P.256-259
Abstract
It is necessary to understand landfill status and waste characteristics for utilization of ended unsanitary landfill sites. In this study, we applied the artificial neural network(ANN) to derive the relationship between general characteristics of unsanitary landfills and results of leachate analysis. The study area is unsanitary landfills ended in the late 1980s, landfill site data and leachate analysis data were learned by the ANN. Results from the ANN, we were able to predict the amount of ammonium from unsanitary landfill site characteristics. We need more ANN models and analysis to predict accurately leachate composition.
URI
http://www.dbpia.co.kr/Article/NODE02479141http://hdl.handle.net/20.500.11754/52282
ISSN
1598-0820
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > CIVIL AND ENVIRONMENTAL ENGINEERING(건설환경공학과) > Articles
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