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Application of Artificial Neural Networks(ANN) to Ultrasonically Enhanced Soil Flushing of Contaminated Soils  

황명기 (명지대학교 토목환경공학과)
김지형 (고려대학교 토목환경공학과)
김영욱 (명지대학교 토목환경공학과)
Publication Information
Journal of the Korean Geotechnical Society / v.19, no.6, 2003 , pp. 343-350 More about this Journal
Abstract
The range of applications of artificial neural networks(Am) in many branches of geotechnical engineering is growing rapidly. This study was undertaken to develop an analysis model representing ultrasonically enhanced soil flushing by the use of ANN. Input data for the model-development were obtained by laboratory study, and used for training and verification. Analyses involved various ranges of momentum, loaming rate, activation function, hidden layer, and nodes. Results of the analyses were used to obtain the optimum conditions for establishing and verifying the model. The coefficient of correlation between the measured and the predicted data using the developed model was relatively high. It shows potential application of ANN to ultrasonically enhanced soil flushing which is not easy to build up a mathematical model.
Keywords
ANN(Artificial Neural Networks); Soil flushing; Ultrasonic;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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