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Estimates of Settlement in Field Ground Using Neural Networks  

김영수 (경북대학교 토목공학과)
정성관 (경북대학교 조경학과)
이상웅 (경북대학교 토목공학과)
이동현 (경북대학교 토목공학과)
Publication Information
Journal of the Korean Geotechnical Society / v.19, no.5, 2003 , pp. 27-33 More about this Journal
Abstract
This study analyzed an application possibility of neural network to overcome problems of conventional settlement prediction. It is very important to estimate settlement in preloading method used to improve soft ground. At present, Hyperbolic method, Hoshino method and Asaoka method are used mostly in the prediction of settlement. But these methods can not predict settlement at the phase of design. On the other hand, neural networks are capable of predicting settlement through accumulated data in the phase of design and this method can be easily applied in practice. In this study Elman neural network is used to estimate future settlement.
Keywords
Asaoka method; Elman neural network; Hoshino method; Hyperbolic method;
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