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인공신경망을 활용한 비위생 매립장 폐기물 특성 평가Evaluation of Unsanitary Landfill Waste Characteristics using the Artificial Neural Network
- Other Titles
- Evaluation of Unsanitary Landfill Waste Characteristics using the Artificial Neural Network
- Issue Date
- Sep-2014
- Publisher
- 한국지반환경공학회
- Keywords
- Unsanitary landfill; Artificial neural network; Waste characteristics
- Citation
- 2014년 한국지반환경공학회 학술발표회논문집, pp.256 - 259
- Indexed
- OTHER
- Journal Title
- 2014년 한국지반환경공학회 학술발표회논문집
- Start Page
- 256
- End Page
- 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.
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Collections - 서울 공과대학 > 서울 건설환경공학과 > 1. Journal Articles
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Related Researcher
- Park, Jae Woo
- COLLEGE OF ENGINEERING (DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING)